This directory is created automatically and some papers may be mislabeled. Only document within the CiteSeer database are listed. The directory is intended to provide entry points for browsing the database and is not intended to be authoritative. Papers may not appear in all relevant categories. For example, papers in a sub-category may not appear in higher level categories.
16441.8 An Indexed Bibliography of Genetic Algorithms - Papers of 1992 - Alander (1996)(Correct)
s: Jan. 1993 -- Feb. 1995
ffl CCA: Computer & Control Abstracts: Jan. 1992 -- Mar. 1996 (except May-95)
ffl CTI: Current Technology Index Jan./Feb. 1993 -- Jan./Feb. 1994
ffl DAI: Dissertation Abst... / time-table search planning pattern recognition patent br help to those who are working or planning to work in this rapidly growing
16328.7 An Indexed Bibliography of Genetic Algorithms in United Kingdom - Alander (1996)(Correct)
s: Jan. 1993 -- Feb. 1995
ffl CCA: Computer & Control Abstracts: Jan. 1992 -- Mar. 1996 (except May-95)
ffl CTI: Current Technology Index Jan./Feb. 1993 -- Jan./Feb. 1994
ffl DAI: Dissertation Abst... / help to those who are working or planning to work in this rapidly growing br motion planning multi-arm robot
15234.3 A Bibliography of Research Relevant to EDI - Swatman (1994)(Correct)
This bibliography is a part of a long-term project, funded by the EDI
World Institute of Montreal, Canada, which is intended to include as complete
a list of references relating to EDI as is possible.... / EDI. R.N. Anthony. Planning and Control Systems A Framework br pages - . Abstract In the planning and implementation of the EDI in
12028.9 Evolving Artificial Neural Networks - Yao (1999)(Correct)
Learning and evolution are two fundamental forms of adaptation. There has been a great
interest in combining learning and evolution with artificial neural networks (ANNs) in recent
years. This paper (... / neural network for robot path planning in Proceedings of the br N. Noguchi and H. Terao Path planning of an agricultural mobile robot
11624.3 Interaction and Intelligent Behavior - Mataric (1994)(Correct)
This thesis addresses situated, embodied agents interacting in complex domains. It
focuses on two problems: 1) synthesis and analysis of intelligent group behavior, and
2) learning in complex group en... / efficient abstraction for control planning and learning for situated br spectrum lie traditional top-down planner-based deliberative strategies
11585.2 Evolutionary Design of Neural Architectures - A Preliminary Taxonomy.. - Balakrishnan, Honavar (1995)(Correct)
This report briefly motivates current research on evolutionary design of neural
architectures (EDNA) and presents a short overview of major research issues in
this area. It also includes a preliminary... / inference adaptive control planning robotics etc Evolutionary br Fuzzy Critic for Robotic Motion Planning by Genetic Algorithm in
9484.3 Experiences with an Interactive Museum Tour-Guide Robot - Burgard, Cremers, Fox, Hähnel.. (1999)(Correct)
This article describes the software architecture of an autonomous, interactive tour-guide
robot. It presents a modular and distributed software architecture, which integrates localization,
mapping, co... / mapping collision avoidance planning and various modules concerned br reasoning localization mapping planning collision avoidance logic
8785.6 Reinforcement Learning: A Survey - Kaelbling, Littman, Moore (1996)(Correct)
This paper surveys the field of reinforcement learning from a computer-science perspective. It
is written to be accessible to researchers familiar with machine learning. Both the historical basis
of t... / are closely related to search and planning issues in artificial br through a graph of states. Planning operates in a similar manner but
8457.2 Evolutionary Computation and Applications at Centre de Mathématiques.. - Schoenauer (1997)(Correct)
this memory in order to guide evolution. unknown Evolutionary Computation
and Applications
at Centre de Math'ematiques Appliqu'ees
de l'Ecole Polytechnique
Marc Schoenauer -- CNRS
Nov. 1995 -- Revised... / . . . Control and motion planning problems . br . . Constrained trajectory planning .
8372.3 Diagnostic Reasoning and Planning in Exploratory-Corrective Domains - Ron Rymon (1993)(Correct)
DIAGNOSTIC REASONING AND PLANNING IN
EXPLORATORY-CORRECTIVE DOMAINS
Ron Rymon
Bonnie L. Webber (Supervisor)
I have developed a methodology for knowledge representation and reasoning for
agents working... / Science Diagnostic Reasoning and Planning in Exploratory-Corrective br Diagnostic Reasoning And Planning In Exploratory-Corrective
7540.4 An Indexed Bibliography of Genetic Algorithms - Papers of 1990 - Alander (1996)(Correct)
s: Jan. 1993 -- Feb. 1995
ffl CCA: Computer & Control Abstracts: Jan. 1992 -- Mar. 1996 (except May-95)
ffl CTI: Current Technology Index Jan./Feb. 1993 -- Jan./Feb. 1994
ffl DAI: Dissertation Abst... / help to those who are working or planning to work in this rapidly growing br path planning pattern matching
7140.6 Learning with Graphical Models - Buntine (1994)(Correct)
Probabilistic graphical models are being used widely in artificial intelligence, for instance,
in diagnosis and expert systems, as a unified qualitative and quantitative framework for representing
and... / systems and more recently in planning and control DW CS dynamic br This inference may be diagnosis planning query planning explanation and
6961.4 Learning Maps for Indoor Mobile Robot Navigation - Thrun (1998)(Correct)
Autonomous robots must be able to learn and maintain models of their environments.
Research on mobile robot navigation has produced two major paradigms for mapping indoor
environments: grid-based and ... / often prohibits efficient planning and problem solving in br approaches a they permit fast planning b they facilitate interfacing
6870.6 MLnet Summer School on Machine Learning and Knowledge Acquisition.. - Buntine(Correct)
Introduction: 20 minutes
ffl motivation and context;
ffl a brief history
II. Foundations of learning: 50 minutes
ffl issues in learning;
ffl basic principles.
III. Learning representations and m... / expert systems dynamic models for planning and control some rulebased br MLnet Summer School on Machine Learning and Knowledge Acquisition
6772.5 Learning Situation-Specific Control In Multi-Agent Systems - Prasad (1997)(Correct)
LEARNING SITUATION-SPECIFIC CONTROL IN MULTI-AGENT SYSTEMS May 1997 MARAM V. NAGENDRAPRASAD B.Tech., INDIAN INSTITUTE OF TECHNOLOGY, MADRAS M.S., INDIAN INSTITUTE OF TECHNOLOGY, MADRAS M.S., MASSACHUS... / NLP Information Retrieval Planning Robotics and Vision -all under br Generalized Partial Global Planning
6714.6 An Integrated Survey of Project Scheduling - Kolisch, Padman (1997)(Correct)
There have been many survey papers in the area of project scheduling in recent years. These papers have primarily emphasized modeling and algorithmic contributions for specific classes of project sc... / are limited over the entire planning horizon with no restrictions br on a period basis as well as on a planning horizon basis. Budget
6578.8 Representation and Management Issues for Case-Based Reasoning Systems - Jurisica (1993)(Correct)
ion and respecialization is a general structural adaptation technique that abstracts
the piece of the retrieved solution, and respecializes it later. Respecialization results
in applying other special... / . . Case-Based Planning br the evaluative component of any planning or decision making system. If
6366.0 Representing and Learning Routine Activities - Hexmoor (1995)(Correct)
A routine is a habitually repeated performance of some actions. Agents use routines to
guide their everyday activities and to enrich their abstract concepts about acts.
This dissertation addresses the... / Routines . Planning br as by-products of research in planning artificial life and
6331.5 Cooperative Information Systems: A Manifesto - De Michelis, Dubois, Jarke, Matthes, .. (1997)(Correct)
Information systems technology, computer-supported cooperative work practice, and organizational
modeling and planning theories have evolved with only accidental contact to each other. Cooperative
inf... / and organizational modeling and planning theories have evolved with only br expert systems and multiagent planning systems. Information and
6191.8 Optimization and global minimization methods suitable for neural.. - Duch, Korczak (1998)(Correct)
Neural networks are usually trained using local, gradient-based procedures. Such methods frequently
find suboptimal solutions being trapped in local minima. Optimization of neural structures and globa... / using typical gradient-based learning techniques starting from a large br neural networks are able to learn many non-trivial problems since
6184.6 CBR in Context: The Present and Future - Leake (1996)(Correct)
This chapter provides an introduction to case-based reasoning, discusses motivations for CBR, and describes the central steps in the CBR process. It examines the relationship of CBR to other approache... / such as explanation and planning are NP-hard Bylander et al. br For example a case-based planning system generates a new plan by
6143.6 Cooperative Mobile Robotics: Antecedents and Directions - Cao, Fukunaga, Kahng, Meng (1995)(Correct)
There has been increased research interest in systems composed of multiple
autonomous mobile robots exhibiting collective behavior. Groups of
mobile robots are constructed, with an aim to studying suc... / From another perspective path planning must be performed taking into br this multiple-robot path planning is an intrinsically geometric
6104.0 A Computational Model of Color Perception and Color Naming - Gisèle Lammens (1994)(Correct)
this document on a color monitor. It is interesting
to view this and related figures with a PostScript previewer like ghostview, where one can see the surface
being built up in 3D. This gives a better... / processes such as learning planning and reasoning and a br reasoning including planning perception and generation of
5971.1 Scalable and Adaptive Goal Recognition - Lesh (1998)(Correct)
Scalable and Adaptive Goal Recognition
by Neal Lesh
Chairperson of Supervisory Committee: Professor Oren Etzioni
Department of Computer Science
and Engineering
Goal recognition is the task of inferri... / on work in machine learning and planning for scaling up goal recognition br Bibliography Appendix A Planning definitions Appendix B Data
5904.5 Evolutionary Artificial Neural Networks - Yao (1993)(Correct)
Evolutionary artificial neural networks (EANNs) [1] result from combinations of artificial
neural networks (ANNs) and evolutionary search procedures such as genetic
algorithms (GAs). This article intr... / form of adaptation in addition to learning. The evolution in EANNs is often br training architecture design learning the learning rules input
5871.4 Operations for Learning with Graphical Models - Buntine (1994)(Correct)
This paper is a multidisciplinary review of empirical, statistical learning from a graphical
model perspective. Well-known examples of graphical models include Bayesian networks,
directed graphs repre... / systems and more recently in planning and control Dean Wellman br Dean T.Wellman M. Planning and Control. San Mateo
5708.6 The Living Machine Initiative - Weng (1996)(Correct)
While digital multimedia are entering all walks of life, breakthroughs in machine understanding of multimodal
information such as video, images, speech, language, and various forms of hand-written or ... / . . . Reasoning and planning . br rules collision-avoidance rules planning rules reasoning rules etc
5708.5 Algorithms For Combinatorial Optimization In Real Time And Their.. - Chu (1994)(Correct)
g techniques for designing better search algorithms. Knowledge captured
in designing one search algorithm can be carried over for designing new ones.
iv
ACKNOWLEDGEMENTS
I express my sincere gratitu... / many NP-hard scheduling and planning problems and problems in br especially those in scheduling and planning operations research artificial
5655.6 Goal-Driven Learning - Ram, Leake (1995)(Correct)
Contents
Acknowledgements
Preface by Professor Tom Mitchell, CMU
Editors' Preface
List of Contributors
1. Learning, Goals, and Learning Goals : : : : : : : : : : : : : : : : : : : : : : : : : : : : :... / Current state of the field . Planning to Learn br about what must be learned. . Planning to Perceive
5648.5 Learning Effective And Robust Knowledge For Semantic Query.. - Hsu (1997)(Correct)
xi
1 Introduction 1
1.1 Semantic Query Optimization : : : : : : : : : : : : : : : : : : : : : : 3
1.2 High Utility Semantic Knowledge for SQO : : : : : : : : : : : : : : : 6
1.3 Learning Effective an... / in a transportation logistic planning domain . br on a transportation logistic planning domain with twenty relations.
5628.7 A Survey on Temporal Reasoning in Artificial Intelligence - Vila (1994)(Correct)
The notion of time is ubiquitous in any activity that requires intelligence. In particular,
several important notions like change, causality, action are described in terms of time.
Therefore, the repr... / appropriate treatment. ffl Planning. To develop a plan one has to br system. TR has been applied in planning systems natural
5600.6 The Omnipresence of Case-Based Reasoning in Science and Application - Aha (1998)(Correct)
A surprisingly large number of research disciplines have contributed towards the
development of knowledge on lazy problem solving, which is characterized by its storage
of ground cases and its demand ... / cognitive psychology process planning statistics have also br Software reuse Process Planning Variant process planning .
5579.7 An Introduction to Least Commitment Planning - Weld (1994)(Correct)
Recent developments have clarified the process of generating partially
ordered, partially specified sequences of actions whose execution
will achive an agent's goal. This paper summarizes a progressio... / Introduction to Least Commitment Planning Daniel S. Weld br a progression of least commitment planners starting with one that handles
5464.7 A Memory Model for Case Retrieval by Activation Passing - Brown (1994)(Correct)
This thesis is concerned with the development of an under-lying model of
memory to support selective case retrieval for case-based reasoning. The major
requirements are that retrieval should be highly... / operator-based approaches to planning An alternative approach br in the anticipation of potential planning problems Specifically
5459.1 Learning Models for Robot Navigation - Shatkay (1998)(Correct)
Hidden Markov models (hmms) and partially observable Markov decision processes (pomdps)
provide a useful tool for modeling dynamical systems. They are particularly useful for representing
environments... / typical for robot navigation and planning. The work presented here br sound method for localization and planning SK NPB CKK Most other
5311.6 Learning to Act using Real-Time Dynamic Programming - Barto, Bradtke, Singh (1995)(Correct)
Learning methods based on dynamic programming (DP) are receiving increasing attention in artificial intelligence. Researchers have argued that DP provides the appropriate basis for compiling planning ... / appropriate basis for compiling planning results into reactive strategies br between AI research on real-time planning and learning and relevant
5247.9 Learning to Take Actions - Khardon (1996)(Correct)
We formalize a model for supervised learning of action strategies in dynamic stochastic domains
and show that PAC-learning results on Occam algorithms hold in this model as well. We then
identify a cl... / to what is done in the study of planning Allen Hendler and Tate br structural domains akin to work in planning Allen Hendler and Tate
5169.0 Applications of Abduction: Knowledge-Level Modeling - Menzies (1996)(Correct)
A single inference procedure (abduction) can operationalise
a wide variety of knowledge-level modeling
problem solving methods; i.e. prediction,
classification, explanation, tutoring, qualitative
reas... / tutoring qualitative reasoning planning monitoring set-covering br financial reasoning machine learning and case-based reasoning
5147.2 A Tutorial Survey of Reinforcement Learning - Keerthi, Ravindran (1995)(Correct)
This paper gives a compact, self--contained tutorial survey
of reinforcement learning, a tool that is increasingly finding application
in the development of intelligent dynamic systems. Research on ... / control of dynamic systems and planning problems of AI. In this paper our br Hinton and Hierarchical planning by Singh a c These
5088.7 Adaptive Behavior in Autonomous Agents - Ziemke (1998)(Correct)
This paper gives an overview of the bottom-up approach to artificial intelligence
(AI), commonly referred to as behavior-oriented AI. The behavior-oriented approach,
with its focus on the interaction ... / cognitive capacities such as planning problem solving or game br into a central world model. A planner based on this internal
5014.2 Multiagent Systems: A Survey from a Machine Learning Perspective - Stone, Veloso (1997)(Correct)
Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than two decades. DAI is concerned with systems that consist of multiple independent entities that interact in a doma... / by the DARPA RL Knowledge Based Planning and Scheduling Initiative under br Understanding each other ffl Planning communicative acts ffl
4998.5 Connectionist Theory Refinement: Genetically Searching the Space of.. - Opitz, al. (1997)(Correct)
An algorithm that learns from a set of examples should ideally be able to exploit the
available resources of (a) abundant computing power and (b) domain-specific knowledge to
improve its ability to ge... / accuracy. Analogous to anytime planning techniques Dean Boddy br these criteria were created for planning and scheduling algorithms they
4933.1 Abstraction in Control Learning - Yee (1992)(Correct)
ion in Control Learning
Richard Yee
Department of Computer and Information Science
University of Massachusetts, Amherst, MA 10003
COINS Technical Report 92-16
March 1992
Abstract
Efficient learning... / Efficient learning and planning call for representing specific br production to game-playing planning and heuristic search appear to
4878.1 Using Multi-Strategy Learning to Improve Planning Efficiency and.. - Estlin (1998)(Correct)
viii
Chapter 1 Introduction 1
1.1 Acquiring Planning Control Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Scope: A Control Knowledge Acquisition System . . . . . . . . . . . . . ... / Learning to Improve Planning Efficiency and Quality Tara br Learning to Improve Planning Efficiency and Quality by
4798.4 Software Agents: A review - Green, Hurst, Nangle, Cunningham.. (1997)(Correct)
this document.
5 unknown Software Agents: A review
27 May 1997
Trinity College Dublin
Broadcom Éireann Research Ltd.
Shaw Green
Leon Hurst
Brenda Nangle
Dr. Pádraig Cunningham
Fergal Somers
Dr. Ri... / . . Multi-Agent Planning for br Net Protocol . . Multi-Agent Planning for coordination More
4796.4 Methodological Issues for Designing Multi-Agent Systems with Machine.. - Drogoul, Zucker (1998)(Correct)
This paper deals with one of the probably most challenging and, in our
opinion, little addressed question that can be found in Distributed Artificial
Intelligence today, that of the methodological des... / natural language processing to planning or problem solving. The br agent will consist in selecting planning those actions that lead to an
4731.8 Knowledge Compilation and Theory Approximation - Selman, Kautz (1996)(Correct)
Computational efficiency is a central concern in the design of knowledge
representation systems. In order to obtain efficient systems, it has been
suggested that one should limit the form of the state... / and certain classes of planning problems Kautz and Selman br our propositional formulation of planning cited above. General
4713.5 Learning Control of Complex Skills - Crawford (1998)(Correct)
Learning Control of Complex Skills
by
Lara Sidonie Crawford
Doctor of Philosophy in
Biophysics
University of California at Berkeley
Professor S. Shankar Sastry, Chair
This dissertation presents a hi... / problem for standard control and planning algorithms conservation of br Another possibility is that planning is done in terms of force and
4683.9 Graphical Models for Learning Dynamical Systems - Dean, Leach, Shatkay(Correct)
Dynamical systems are used to model physical phenomena whose
state changes over time. This paper provides a characterization of dynamical
systems in terms of graphical models. This characterization
ma... / process control transportation planning financial forecasting speech br Thomas and Wellman Michael . Planning and Control. Morgan Kaufmann
4640.2 Cross-Application Hypertext for Qualitative Decision Making - Fritz(Correct)
Decision making is a complex and incompletely understood process which has, until now, been
supported by computer technology in its analytical aspects only. This report addresses the
qualitative, or i... / situation to completing a planning exercise or identifying new br processing needs of strategic planning exercises Mockler Moc points
4636.3 Learning Procedural Planning Knowledge In Complex Environments - Pearson (1996)(Correct)
LEARNING PROCEDURAL PLANNING KNOWLEDGE IN COMPLEX
ENVIRONMENTS
by
Douglas John Pearson
Chair: John E. Laird
In complex, dynamic environments, an agent's knowledge of the environment (its domain knowle... / Learning Procedural Planning Knowledge In Complex br Abstract Learning Procedural Planning Knowledge In Complex
4595.3 Primitives, Perceptual Organization and Object Recognition - Forsyth, Malik, Fleck, Ponce (1997)(Correct)
We argue that any computational theory of object recognition should explain
how to decide what is to be recognized and how to recognize objects at the level of abstract
categories. We show that seve... / estimation which is useful in planning any interaction with the object. br pictures and discuss the role of learning in the corresponding recognition
4556.1 Space Mapping And Navigation For A Behaviour-Based Robot (Application .. - Gat(Correct)
This work is dedicated to mobile robot navigation. It presents a solution to the
navigation problem using a simple world model based on a new approach to
behaviours' mapping. This new theory of behavi... / the cohabitation of the classic AI planning and the behaviours' based br robot. A new technique of optimal planning within the graph frame exploits
4534.2 Scalable Services For Video-On-Demand - Chan, Tobagi (1998)(Correct)
Video-on-demand (VOD) refers to video services in which users can request any video
program from a server at any time. VOD has important applications in entertainment, education,
information, and adve... / schemes and addressed the channel planning and profit issues in such a br we use simulation. Bandwidth planning As an example we consider T
4520.0 Handbook of Perception and Cognition, Vol.14 Chapter 4: Machine.. - Stuart Russell(Correct)
Contents
I Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
A A general model of learning . . . . . . . . . . . . . . . . . . . . . . . ... / for producing rules for logical planning systems are quite different from br architectures such as AI planning systems. ffl In any learning
4420.9 An Agenda For Digital Journals: The Socio-Technical Infrastructure Of .. - Gaines (1993)(Correct)
The problems of information overload from the growth of scholarly literature, and the need to
use information technology to manage them, were identified by major writers and scientists over
fifty year... / would be wasteful yet detailed planning in the use of agents is not br mechanism involving no central planning Gaines That is the
4412.1 Complexity Measures for Assembly Sequences - Goldwasser (1997)(Correct)
Our work focuses on various complexity measures for two-handed assembly sequences. For many products, there exist an exponentially large set of valid sequences, and a natural goal is to use automated ... / this thesis. His work in assembly planning is what brought me to studying br members of the Stanford assembly planning group namely Leo Guibas
4299.1 Applications of Abduction #2: Knowledge-Level Modeling - Menzies (1995)(Correct)
A single inference procedure (abduction) can operationalise
a wide variety of knowledge-level modeling
problem solving methods; i.e. prediction,
classification, explanation, quantitative reasoning,
pl... / quantitative reasoning planning monitoring set-covering br qualitative reasoning planning monitoring set-covering
4217.0 The Collective Stance In Modeling Expertise In Individuals And.. - Gaines (1994)(Correct)
This paper is concerned with modeling the nature of expertise and its role in society in relation to
research on expert systems and enterprise models. It argues for the adoption of a collective stance... / process distinction creation Planned representation optimal action br Pioneers by their nature have learnt to disregard warnings taking
4213.2 Toward A Foundation of Disjunctive Logic Programming - Minker (1989)(Correct)
I provide a personal memoir on work that I have done and describe research
that influenced my work that led to results in the foundation of disjunctive
logic programming. I discuss my beginning experi... / in logic so that one could do planning. This work was incorporated in br June . Hew Carl Hewitt. PLANNER A Language for Proving Theorems
4196.0 Learning to be Autonomous: Intelligent Supervisory Control - Antsaklis, Lemmon, Stiver (1993)(Correct)
A brief introduction to the main ideas in Autonomous Control
Systems is first given and certain important issues in modeling, analysis
and design are discussed. Control systems with high degree of a... / Learning from past experience and planning control actions may be necessary. br controller parameters planning systems setting the set points of
4180.2 Cooperative - Competitive Genetic Evolution of Radial Basis Function.. - Whitehead, Choate (1995)(Correct)
In a radial basis function (RBF) network, the
RBF centers and widths can be evolved by a cooperativecompetitive
genetic algorithm. The set of genetic strings
in one generation of the algorithm represe... / at a Time Cascade-correlation learning and similar methods such br such as projection pursuit learning employ nontraditional
4141.8 From Reactive Behaviour to Adaptive Behaviour - Motivational models.. - Spier (1997)(Correct)
From Reactive Behaviour to Adaptive Behaviour
Motivational models for behaviour in animals and robots
E. H. Spier, Balliol College, Trinity Term 1997
A thesis submitted for the degree of Doctor of P... / built upon these principles Planning reasoning over abstract symbols br of their phrase for this form of planning has tantalising implications and
4132.5 Genetic Programming - Computers using "Natural Selection" to generate .. - Langdon, Qureshi (1995)(Correct)
Computers that "program themselves"; science fact or fiction? Genetic Programming uses novel
optimisation techniques to "evolve" simple programs; mimicking the way humans construct
programs by progres... / GP Applications Robotic Control Planning Neural Networks Figure A br Handley describes the genetic planner as different from traditional
4095.3 A Framework for Goal-Driven Learning - Ashwin Ram(Correct)
this paper, we describe
a framework for goal-driven learning and its relationship
to prior and current theories from each of these
perspectives. unknown Proceedings of the 1994 AAAI Spring Symposium o... / task goals are achieved through a planning process using available methods br are achieved through a knowledge planning process using available
4015.4 Planning, Learning and Coordination in Multiagent Decision Processes - Boutilier(Correct)
There has been a growing interest in AI in the design of multiagent systems, especially in multiagent cooperative planning. In this paper, we investigate the extent to which methods from single-agent ... / Planning Learning and Coordination in br in multiagent cooperative planning. In this paper we investigate
4005.8 On the Reduction of Costs for Robot Controller Synthesis - Attilio Giordana, Michael Kaiser.. (1994)(Correct)
The demand for smarter and more adaptive robots, mainly due to the increasing availability of sophisticated
sensor systems for both manipulation and mobile robots and the recently emerging market fo... / such as problem solving or planning capabilities are not considered br integrate RL and execution-time planning and apply the same algorithm
3996.5 Background to Qualitative Decision Theory - Doyle, Thomason (1999)(Correct)
This paper provides an overview of the field of qualitative
decision theory: its motivating tasks and issues, its
antecedents, and its prospects. Qualitative decision theory
studies qualitative approa... / . Decision-theoretic planning . br . . Sympathetic planning .
3940.1 Evolutionary Algorithms for Neural Network Design and Training - Branke (1995)(Correct)
Neural networks and genetic algorithms are two relatively young research areas
that were subject to a steadily growing interest during the past years. Both models
are inspired by nature, but whereas n... / neural networks are concerned with learning of an individual phenotypic br of an individual phenotypic learning evolutionary algorithms deal
3930.5 Combining Artificial Intelligence and Databases for Data Integration - Levy (1998)(Correct)
Data integration is a problem at the intersection of the fields of Artificial Intelligence and
Database Systems. The goal of a data integration system is to provide a uniform interface to a
multitude ... / extracting data from sources and planning techniques for query br and of techniques for interleaving planning and execution for the purpose of
3884.5 Schmidhuber's lab - Turteltaub (1999)(Correct)
A preliminary attempt at collecting references to the work of Jurgen Schmidhuber and his
machine learning research group.
Overview
In the final decade of this millenium Schmidhuber has produced wel... / dynamic reinforcement learning and planning in non-stationary environments. br Schmidhuber and his machine learning research group. Overview In
3869.5 Using experience in learning and problem solving - Koton (1989)(Correct)
This paper contains a brief overview of case-based reasoning (CBR) with an emphasis on
European activities in the field. The main objective was to have a balance between brevity
and expressiveness and... / Hammond and others on case-based planning Hammond Collins br have been built to do case-based planning and design among them let us
3827.7 Continuous Case-Based Reasoning - Ram, Santamaría (1996)(Correct)
Case-based reasoning systems have traditionally been used to perform high-level
reasoning in problem domains that can be adequately described using discrete,
symbolic representations. However, many re... / For example CHEF uses case-based planning to create recipes AQUA br analogy for high-level robot planning E-mail
3774.1 Hybrid System Modeling and Event Identification - Antsaklis, Lemmon, Stiver (1993)(Correct)
Hybrid control systems contain two distinct types of systems,
continuous state and discrete-state, that interact with each other. Their study
is essential in designing sequential supervisory control... / Learning from past experience and planning control actions may be necessary. br controller parameters planning systems setting the set points of
3768.1 Planning-Based Control of Software Agents - Weld (1996)(Correct)
this paper is not intended to be a
comprehensive survey of important softbot projects ---
there are far too many interesting systems for me to
describe them all. I focus on University of Washington
pr... / Planning-Based Control of Software Agents br Washington explain why I think planning is a crucial technology for their
3753.4 Knowledge Acquisition and Learning by Experience - The Role of.. - Aamodt (1995)(Correct)
As knowledge-based systems are addressing increasingly complex domains, their roles are
shifting from classical expert systems to interactive assistants. To develop and maintain
such systems, an integ... / of credibility for loan planning of transportation routes The br interpretation investment planning and most engineering domains
3738.2 Modeling Human-Body Soft Tissues for Surgical Applications - Latombe (1999)(Correct)
irtual characters.
Previous research on soft-tissue modeling provides foundations on which the proposed research is
based. In particular, as several researchers have suggested before, tissue structure... / in graphics vision and motion planning . br for diagnosis and surgical planning. Combined with advances of
3719.9 A Brief Overview of Logic Programming Research at the K.U.Leuven.. - Martens, Bruynooghe, Denecker, De..(Correct)
In this paper, we present a brief overview of most recent and ongoing research in
logic programming at the K.U.Leuven Department of Computer Science. We specifically
include some indications of its pr... / in domains such as automated planning temporal reasoning br reasoning such as scheduling and planning etc.We have shown that in the
3685.1 Introspective Learning For Case-Based Planning - Fox (1995)(Correct)
A fundamental problem for artificial intelligence is creating systems that can operate
well in complex and dynamic domains. In order to perform well in such domains,
artificial intelligence systems mu... / Learning For Case-Based Planning By Susan Fox Submitted To br system combines a case-based planner with an introspective component
3668.8 Perception Level Control for Uncalibrated Hand-Eye Coordination and.. - Jägersand (1995)(Correct)
Robot arm manipulators, some thirty years after their commercial introduction,
have found widespread application in structured industrial environments, performing,
for instance, repetitive tasks in a ... / Visual space task representation planning and control . br . . Trajectory planning
3661.1 Rational Interaction in Multiagent Environments: Coordination - Gmytrasiewicz (1997)(Correct)
We adopt the decision-theoretic principle of expected utility maximization as a
paradigm for designing autonomous rational agents, and present a method of representing
and processing a finite amount o... / routines that update the KB planning routines The rational br generated say by a symbolic planning system. The expected utilities
3627.2 Learning Action Strategies for Planning Domains - Khardon (1997)(Correct)
This paper reports on experiments where techniques of supervised machine learning are
applied to the problem of planning. The input to the learning algorithm is composed
of a description of a planning... / Learning Action Strategies for Planning Domains Roni Khardon br Learning Action Strategies for Planning
3618.5 Building and Refining Abstract Planning Cases by Change of.. - Bergmann, Wilke (1995)(Correct)
Planning Cases
by Change of Representation Language
Ralph Bergmann bergmann@informatik.uni-kl.de
Wolfgang Wilke wilke@informatik.uni-kl.de
Centre for Learning Systems and Applications (LSA)
Universi... / Building and Refining Abstract Planning Cases by Change of br -as used in most hierarchical planners -has proven useful. In this
3585.7 Decentralized Information Processing in the Theory of Organizations - van Zandt (1997)(Correct)
Bounded rationality has been an important theme throughout the history of
the theory of organizations, because it explains the sharing of information
processing tasks and the existence of administrati... / debates . Markets versus planning bureaus . br the computational efficiency of planning bureaus versus markets and of
3584.5 Towards Scaling Up Machine Learning: A Case Study with Derivational.. - Veloso, Carbonell(Correct)
ion and
Analogy
Previous work in the linear planner of prodigy uses explanation-based
learning (EBL) techniques [ Minton, 1988 ] to extract from a problemsolving
trace the explanation chain responsib... / In Machine Learning Methods for Planning Morgan Kaufmann ed. S. br performance in a variety of planning and other reasoning tasks. These
3577.6 Integrating ILP and EBL - Mooney, Zelle (1994)(Correct)
This paper presents a review of recent work that
integrates methods from Inductive Logic Programming
(ILP) and Explanation-Based Learning
(EBL). ILP and EBL methods have complementary
strengths and we... / in early work in learning in planning natural language br methods were developed to improve planning mathematical problem
3562.4 Genetic Programming in Europe - Langdon, Poli (1997)(Correct)
this report
we describe the state of the art in GP technology, the role Europe has in advancing it and the activities
of the E v o
G
P
working group. We indicate the likely benefits of this technology... / G P web pages. . Workshops Planned The working group is br from which the algorithms must learn and generalise or by grading
3530.2 Learning Evaluation Functions - Justin A. Boyan (1996)(Correct)
Evaluation functions are an essential component of practical search algorithms for
optimization, planning and control. Examples of such algorithms include hillclimbing,
simulated annealing, best-first... / algorithms for optimization planning and control. Examples of such br VLSI channel routing treatment planning for radiation therapy scheduling
3507.7 Machine Learning Techniques for Civil Engineering Problems - Reich (1997)(Correct)
The growing volume of information databases presents opportunities for advanced
data analysis techniques from machine learning (ML) research. Practical applications
of ML are very different from theor... / have been explored e.g.planning wastewater treatment plant br high level terms or by planning to use natural language
3500.8 Hidden State and Reinforcement Learning with Instance-Based State.. - Andrew Mccallum(Correct)
Real robots with real sensors are not omniscient. When a robot's
next course of action depends on information that is hidden from
the sensors because of problems such as occlusion, restricted range,
b... / state problems and traditional planning agents which require infeasible br based on reinforcement learning planning and teaching in Proceedings
3500.4 Experience, Introspection, and Expertise: Learning to Refine the.. - Leake(Correct)
The case-based reasoning paradigm models how reuse of stored experiences contributes
to expertise. In a case-based problem-solver, new problems are solved by retrieving stored
information about previo... / cases. For example a library of planning cases acquired for cooking stews br helpful as the starting point for planning how to cook a cake. However it
3496.2 A Decision-theoretic Approach to Adaptive Problem Solving - Gratch, DeJong (1994)(Correct)
This article argues that it is desirable, and possible, to construct general problem solving techniques
that automatically adapt to the characteristics of a specific application. Adaptive problem solv... / applied to learning heuristics for planning and scheduling systems. This br to a domain-independent planner. Theapproach significantly
3480.2 Parts Feeding on a Conveyor with a One Joint Robot - Akella, Huang, Lynch, Mason (1999)(Correct)
This paper explores a method of manipulating a planar rigid part on a conveyor belt using a robot
with just one joint. This approach has the potential of offering a simple and flexible method for feed... / polygonal parts. We present the planners for these systems and describe br robotics manipulation mechanics planning minimalism automation
3422.0 Robust sensing for force-controlled assembly - Bruyninckx, Hovland, McCarragher (1997)(Correct)
This workshop introduces a number of statistical tools
that can be used to increase the reliability and robustness
of force-controlled assembly tasks. The emphasis
is on efficient, model-based sensor ... / state monitoring and action planning. All techniques are illustrated br a level of reasoning and re planning beyond the current state of the
3414.1 The Connections Of The Dopaminergic System With The Striatum In Rats.. - Joel, Weiner(Correct)
This Commentary compares the connections of the dopaminergic system with the striatum in rats and primates with
respect to two levels of striatal organization: a tripartite functional (motor, associa... / input namely governing striatal learning br and enabling the execution of well-learned behaviors
3413.4 Common Control Principles Of Basal Ganglia - Thalamocortical Loops.. - Lörincz (1996)(Correct)
The learning features of the hippocampal formation and the basal ganglia -- thalamocortical loops are analysed on the basis of their recent models utilizing control concepts for both architectures. ... / problems such as path planning tasks Conventional control br that the motion follows the planned direction. . The firing of
3403.6 Towards Planning: Incremental Investigations into Adaptive Robot.. - Meeden (1994)(Correct)
Traditional models of planning have adopted a top-down perspective by focusing
on the deliberative, conscious qualities of planning at the expense of having a system
that is connected to the world thr... / Towards Planning Incremental Investigations Into br listened to my ideas about planning and discussions with him
3389.6 Spatial Data Mining: Progress and Challenges - Survey paper - Koperski, Adhikary, Han (1996)(Correct)
Spatial data mining, i.e., mining knowledge from large
amounts of spatial data, is a highly demanding field because
huge amounts of spatial data have been collected in various
applications, ranging fr... / environmental assessment and planning etc. The collected data far br clustering techniques is planned. The above studies showed the
3345.7 Learning Reactive and Planning Rules in a Motivationally Autonomous.. - Donnart, Meyer (1995)(Correct)
This work describes a control architecture based
on a hierarchical classifier system. This system, which learns
both reactive and planning rules, implements a motivationally
autonomous animat that cho... / Learning Reactive and Planning Rules in a Motivationally br which learns both reactive and planning rules implements a
3340.2 Toward a Model of Intelligence as an Economy of Idiots - Baum (1997)(Correct)
A market-based algorithm is presented which autonomously apportions complex
tasks to multiple cooperating agents giving each agent the motivation of
improving performance of the whole system. A spe... / on a simulated Blocks World BW planning problem. Hayek learns to solve br for tasks involving reasoning or planning. In this paper I take the point
3328.3 Design and Implementation of Model-based Decision Support Systems - Makowski (1994)(Correct)
Decision making often requires the analysis of large amount of data and complex relations.
Computerized tools designed and implemented for such purposes are called Decision Support
Systems (DSS). A DS... / level strategic and operational planning of means aimed at improving br of this type include production planning cf ZvKAW spatial analysis
3323.4 Rational Coordination in Multi-Agent Environments - Gmytrasiewicz, Durfee (1999)(Correct)
We adopt the decision-theoretic principle of expected utility maximization as a
paradigm for designing autonomous rational agents, and present a framework that uses
this paradigm to determine the ch... / routines that update the KB planning routines that propose br posed by learning sensing and planning we concentrate solely on the
3275.1 Map Learning and High-Speed Navigation in RHINO - Thrun, Bücken, Burgard, Fox.. (1998)(Correct)
This chapter surveys basic methods for learning maps and high speed autonomous navigation for indoor
mobile robots. The methods have been developed in our lab over the past few years, and most of them... / constructed that facilitate fast planning. . Localization. Localization br Approaches to global path planning exploration and reactive
3270.3 Autonomous Agents and Collective Robotics - Chantemargue, Courant, Hirsbrunner(Correct)
this paper is twofold. First to take stock of the state of the AMoC project after three
years of research (funded by the Swiss National Foundation for Research unknown Autonomous Agents and Collective... / level cognitive capacities such as planning and neglects low level br environment for the Khepera is planned to be built see details
3263.5 User interface affordances in a planning representation - Amant (1999)(Correct)
This article shows how the concept of affordance in the user interface fits into a wellunderstood
artificial intelligence (AI) model of acting in an environment. In this model AI
planning research is ... / User interface affordances in a planning representation Robert St. br University. Affordances in a planning representation Abstract
3261.6 Stable Pushing: Mechanics, Controlability, and Planning - Lynch, Mason(Correct)
We would like to give robots the ability to position and orient
Erratum: Figures 13 and 15 are transposed.
parts in the plane by pushing, particularly when the parts are
too large or heavy to be grasp... / Mechanics Controllability and Planning Abstract We would like to br we consider the problem of planning pushing paths using stable
3251.5 Integrating Explanation-Based and Inductive Learning Techniques to.. - Estlin (1996)(Correct)
Planning systems have become an important tool for automating a wide variety
of tasks. Control knowledge guides a planner to find solutions quickly and is crucial
for efficient planning in most domain... / to Acquire Search-Control for Planning Tara A. Estlin Department br September Abstract Planning systems have become an important
3241.0 A Learning Model for Forecasting the Future of Information Technology - Gaines, Shaw (1986)(Correct)
System-theoretic accounts of the epistemological processes underlying knowledge acquisition
have been shown to apply to both individual human behavior and social development processes,
and to enable a... / of industrial and government planning for example that one must have br a positive course for himself and planning for it. The capacity of dealing
3216.2 Methods for deciding what to do next and learning - Hexmoor, Nute (1992)(Correct)
this paper we will review general assumptions underlying planning paradigms, integrated
approaches, and learning. We will describe agents that function in the world as hybrid systems
that integrate pe... / of the role of classical AI-planning in deciding moment-to-moment br paradigms such as reactive planning Firby Georgeff Lansky
3208.3 Constructive Neural Network Learning Algorithms for Pattern.. - Parekh, Yang, Honavar (1998)(Correct)
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural network architectures for pattern classification. They help overcome the need for ... / Parekh Allstate Research and Planning Center Middlefield Road br Constructive Neural Network Learning Algorithms for Pattern
3203.5 Databases for GIS - Medeiros, Pires (1994)(Correct)
This paper analyses database support for gis unknown Databases for GIS
Claudia Bauzer Medeiros
cmbm@dcc.unicamp.br
DCC - IMECC - UNICAMP
13081-970 Campinas SP Brazil
Fatima Pires
fpires@dcc.unicam... / Examples are urban planning route optimization public br not absolute since environmental planners may also use cadastral data
3193.9 Affordances for acting in direct manipulation interfaces - Amant (1998)(Correct)
This article describes the theory, shows how existing interface mechanisms
fit into its conceptual framework, identifies novel interface affordances suggested by the framework, and outlines procedures... / used in artificial intelligence planning systems. This article describes br inevitably involves search. Planning is a kind of search appropriate
3147.4 Of Elephants and Men - Johan Lammens (1994)(Correct)
In the elephant paper, Brooks criticized the ungroundedness
of traditional symbol systems and proposed physically grounded
systems as an alternative. We want to make a contribution towards
integrati... / processes such as learning planning and reasoning and a br reasoning including planning perception and generation of
3144.0 Formal Approaches to Student Modelling - Self (1994)(Correct)
This paper considers student modelling from the point of view of the formal
techniques that are involved. It attempts to provide a theoretical, computational basis for
student modelling which is psy... / student model . Prediction and planning . Diagnosis and remediation br the following reasons . Unlike planning itself plan recognition is
3134.2 Concept Acquisition by Autonomous Agents: Cognitive Modeling versus.. - Davidsson (1992)(Correct)
This paper is a treatment of the problem of concept acquisition
by autonomous agents, primarily from an AI
point of view. However, as this problem is not very
well studied in AI and as humans are inde... / base KB When the reasoner is planning or doing other kinds of br is not the linguistic task of learning the names of categories.
3112.0 From Conventional Control to Intelligent Neurocontrol Methods - A.. - RayChaudhuri, Hamey (1995)(Correct)
We present here a survey of published work covering the growth and development
of control engineering, leading to modern adaptive methods and finally
to intelligent neurocontrol. Ever since the advent... / adaptation and learning planning under large uncertainty coping br Safra and Moshe Tennenholtz. On planning while learning. Journal of
3089.6 Issues and Approaches in the Design of Collective Autonomous Agents - Mataric (1995)(Correct)
The problem of synthesizing and analyzing collective autonomous agents has only recently begun to be practically studied by the robotics community. This paper overviews the most prominent directions o... / framework and apply a traditional planner-based control architecture to a br the difficulty of multi-agent planning and control in abstract
3069.4 Hypothesis Testing in Neuroendocrinology via Abduction over.. - Menzies, Compton (1996)(Correct)
It is difficult to assess hypothetical models in
poorly measured domains such as neuroendocrinology.
Without a large library of observations to
constrain inference, the execution of such incomplete
mo... / tutoring qualitative reasoning planning monitoring verification br and DeKleer warn that DFS can learn features of a search space then
3047.5 An Autonomous Agent Architecture for Integrating Perception and.. - Hexmoor, Lammens, Shapiro (1992)(Correct)
We describe an agent architecture in terms of general principles of organization of components
for an autonomous agent that functions in the world. This architecture is described
independent of comput... / processes such as learning planning and reasoning and a br reasoning including planning perception and generation of
3038.4 CABINS: A Framework of Knowledge Acquisition and Iterative Revision.. - Miyashita, Sycara (1995)(Correct)
Practical scheduling problems generally require allocation of resources in the presence of a large, diverse and typically conflicting set of constraints and optimization criteria. The ill-structuredne... / symbolic problems such as planning Ham KH Vel legal br criteria are also appropriate for planning. These criteria were a
2974.2 Collective Problem Solving through Coordination in a Society of.. - Liu (1994)(Correct)
We present a methodology, called Constraint Partition and Coordinated Reaction
(CP&CR), where a problem solution emerges from the evolving computational process
of a group of diverse, interacting reac... / other areas such as distributed planning and control cooperating br for problems ranging from planning to optimization. The existing
2967.7 Neurocontrol III: Differencing Models Of Basal.. - Lörincz (1997)(Correct)
Two models of basal ganglia--thalamocortical loops are proposed, both of which feature population coding and utilize local approximations. The first model is a temporal differencing scheme similar t... / that are needed to achieve the planned trajectory. The model is based br ffl it solves the path planning problem without explicit
2946.4 Robot Localization and Exploration with Agent-Centered Search - Sven Koenig(Correct)
In this article, we describe agent-centered search and illustrate
this planning paradigm with examples from robot localization
and exploration. Agent-centered search methods
interleave planning and pl... / search and illustrate this planning paradigm with examples from robot br search methods interleave planning and plan execution and restrict
2941.6 Neural Networks for Time Series Processing - Dorffner (1996)(Correct)
This paper provides an overview over the most common neural network types for time series processing, i.e. pattern recognition and forecasting in spatio-temporal patterns. Emphasis is put on the relat... / From econometrics to energy planning a large number of time series br networks architectures and learning algorithms is assumed. Time
2939.5 Automated Acquisition of Control Knowledge to Improve the Quality of.. - Perez, Carbonell (1993)(Correct)
Most of the work to date on automated control-knowledge acquisition has been aimed at improving the
efficiency of planning; this work has been termed "speed-up learning". The work presented here focu... / at improving the efficiency of planning this work has been termed br of control knowledge to guide a planner towards better solutions i.e. to
2927.0 Combining Genetic Algorithms and Neural Networks: The Encoding Problem - Koehn (1994)(Correct)
Neural networks and genetic algorithms demonstrate powerful problem
solving ability. They are based on quite simple principles, but take advantage
of their mathematical nature: non-linear iteration.
N... / networks with backpropagation learning showed results by searching for br parameter network topology learning rate initial weights often
2927.0 Deictic Believability: Coordinated Gesture, Locomotion, and Speech in .. - Lester, Voerman, Towns, Callaway(Correct)
Lifelike animated agents for knowledge-based learning environments can provide timely, customized
advice to support students' problem solving. Because of their strong visual presence,
they hold signif... / animated agents. A deictic behavior planner exploits a world model and the br the design of an agent behavior planner that considers the physical
2878.1 Neuromorphic Distributed General Problem Solvers - Bieszczad (1996)(Correct)
At this moment of time, it is justifiable to say that the great promise of symbolic Artificial Intelligence,
including problem solving and planning systems, have not satisfactorily materialized.
There... / including problem solving and planning systems have not satisfactorily br to problem solving and planning.
2855.6 Inductive Program Synthesis for Therapy Plan Generation - Arnold, Jantke (1996)(Correct)
Planning is investigated in an area where classical Strips-
like approaches usually fail. The application domain is therapy (i.e. repair)
for complex dynamic processes. The peculiarities of this do... / Abstract. Planning is investigated in an area where br characteristics of the inductive planning approach presented. Plans are
2853.8 Parameterized Heuristics for Project Scheduling - Biased Random.. - Schirmer, Riesenberg (1997)(Correct)
The resource-constrained project scheduling problem is notoriously intractable. Due to its
complexity, the majority of algorithms are heuristics, of which priority rule-based methods constitute
the ... / by considering the periods of the planning horizon in chronological order. br J.E. Critical path planning and scheduling Mathematical
2843.2 Co-Learning in Differential Games - John W. Sheppard(Correct)
Game playing has been a popular problem area for research in artificial
intelligence and machine learning for many years. In almost every study of
game playing and machine learning, the focus has been... / date research in multiple agent planning and control has been limited br game. The games are related to planning problems in that each player
2839.0 The New Wave in Robot Learning - Noel Sharkey (1997)(Correct)
this
paper represents a new drive towards quantification in autonomous robotics research. Two
main measures are used to analyze the results of the experiments: distance to objects over
time and the pr... / situated between the high-level planning robotics or pre- s br and D. Blank. Emergent control and planning in an autonomous vehicle. In
2828.1 The DIPART Project: A Status Report - Pollack, Znati, Ephrati, Joslin.. (1994)(Correct)
Current-generation AI planning technology lacks effective, flexible techniques for managing
the planning process in the presence of changing information, and for coordinating multiple,
distributed pla... / Abstract Current-generation AI planning technology lacks effective br techniques for managing the planning process in the presence of
2824.2 Issues in Autonomous Mobile Robot Navigation - Singhal (1997)(Correct)
Three main problems facing outdoor autonomous mobile robot navigation are unstructured
environments, moving obstacles, and multiple sensors. Each of these leads
to uncertainties that usually cannot be... / goal recognition and path planning we can use some of the br . . . Path Planning .
2803.9 A Bibliography of the Intersection of Genetic Search and Artificial.. - Rudnick (1990)(Correct)
Introduction
This is a fairly informal bibliography of work relating artificial neural networks (ANNs) and
genetic search. It is a collection of books, papers, presentations, and reports which I've c... / RHW Rum WiL . . Learning Interactions The idea that br Interactions The idea that learning by individuals and learning by
2800.6 Model-Based Learning for Mobile Robot Navigation from the Dynamical.. - Tani (1996)(Correct)
This paper discusses how a behavior-based robot can construct a "symbolic process
" that accounts for its deliberative thinking processes using models of the environment.
The paper focuses on two esse... / account for the cognitive tasks of planning or mental simulation can be br of chaotic dynamics to the planning process and discuss its
2790.9 Individual Learning of Coordination Knowledge - Sen, Sekaran (1998)(Correct)
Social agents, both human and computational, inhabiting a world containing
multiple active agents, need to coordinate their activities. This is
because agents share resources, and without proper coord... / like knowledge representation planning learning non-monotonic br Simon ffl multi-agent planning Durfee and Lesser
2782.5 Specialized Learning and the Design of Intelligent Agents - Bryson (1997)(Correct)
The reactive approach to artificial intelligence has developed impressive demonstrations of
life-like robots and simulations by breaking behavior into carefully engineered behavioral modules
which rea... / behaviors by replacing extensive planning and modeling with carefully br lower layers with conventional AI planners Bonasso Firby Gat
2780.5 The Role of Assumptions in Knowledge Engineering - Fensel, Benjamins (1998)(Correct)
Problem-solving methods are means to describe the inference process
of knowledge-based systems. During the last years, a number of these problemsolving
methods have been identified that can be reuse... / by Benjamins and for planning by Barros et al. br solving Fensel et al. planning Barros et al. and develop
2769.6 Making the World Differentiable: On Using Self-Supervised Fully.. - Jürgen Schmidhuber (1990)(Correct)
First a brief introduction to reinforcement learning and to supervised learning with recurrent
networks in non-stationary environments is given. The introduction also covers the basic principle of
`g... / Reinforcement Learning and Planning in Non-Stationary Environments br of using the model for learning by planning by mental simulation' of the
2766.9 A Teaching Strategy for Memory-Based Control - John Sheppard (1997)(Correct)
Combining different machine learning algorithms in the same system can produce
benefits above and beyond what either method could achieve alone. This paper demonstrates
that genetic algorithms can be ... / problems that arise in robotics planning game playing and other areas br for the general class of planning and control problems. We
2753.7 Generalization and Generalizability Measures - Wah (1999)(Correct)
In this paper, we define the generalization problem, summarize various
approaches in generalization, identify the credit assignment problem,
and present the problem and some solutions in measuring gen... / Space Rule Space Experiment Planning Instance Selection Result br rule space and involves experiment planning instance selection and result
2750.1 Advanced Biased Random Sampling in Serial and Parallel Scheduling - Schirmer (1997)(Correct)
Most combinatorial scheduling problems are notoriously intractable, so the majority of
algorithms for them are heuristic in nature. Of these, priority rule-based methods - despite their age -
still ... / by considering the periods of the planning horizon in chronological order. br J.E. Critical path planning and scheduling Mathematical
2719.3 An Overview of Abduction as a General Framework for Knowledge-Based.. - Menzies (1995)(Correct)
A single inference procedure (abduction) can be used for (amongst other things) prediction, classification,
explanation. planning, monitoring, diagnosis, qualitative reasoning, validation, verificatio... / classification explanation. planning monitoring diagnosis br R fi induction is learning R after seeing numerous
2714.8 A Computational Approach for Argumentative Discourse in Multi-Agent.. - Karacapilidis (1998)(Correct)
This paper describes a Group Decision Support System for cooperative or non-cooperative argumentative discourses. The system provides agents means of expressing and weighing their individual arguments... / related regional and federal Planning Departments environmental br refers to e.g. cooperative planning iii basicElements
2713.7 An Architecture for Cooperation among Autonomous Agents - Jung (1998)(Correct)
This thesis develops the Architecture for Behaviour Based Agents (ABBA) -- an architecture
suitable for supporting the distributed planning of cooperative behaviour in multi-robot
systems. ABBA was us... / for supporting the distributed planning of cooperative behaviour in br spatial and topological path planning using a homogeneous action
2690.5 Coordination and Control Structures and Processes: Possibilities for.. - Vasant Honavar (1990)(Correct)
The absence of powerful control structures and processes that synchronize, coordinate,
switch between, choose among, regulate, direct, modulate interactions between, and
combine distinct yet interdepe... / complex problem-solving planning In this paper we examine how br complex problem-solving planning It is often asserted but for
2683.5 Towards Goal-Driven Integration of Explanation and Action - David Leake(Correct)
Introduction
In order to learn effectively in complex situations, learners must be able to determine the
features of those situations that are relevant to their goals and the reasons that they are
re... / Schank Wilensky in planning and problem-solving explanations br process can be modeled as a planning process Turner In
2676.4 Instructional Planning In An Intelligent Tutoring System: Combining.. - Woo (1991)(Correct)
CONTENTS
Page
ACKNOWLEDGEMENT . . . . . . . . . . . . . . . . . . . . iii
LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . vi
CHAPTER
I. INTRODUCTION . . . . . . . . . . . . . . . . 1
1.1 An Ov... / Instructional Planning In An Intelligent Tutoring br . . Instructional Planner . . Text
2671.8 Learning in Networks - Buntine (1995)(Correct)
Intelligent systems require software incorporating probabilistic reasoning, and often
times learning. Networks provide a framework and methodology for creating this kind
of software. This paper introd... / Heckerman and planning and control Dean Wellman br Dean T.Wellman M. Planning and Control. Morgan Kaufmann
2661.7 Clinical Decision-Support Systems in Radiation Therapy - Jain, Kahn (1993)(Correct)
This paper reviews eleven prototype systems developed for target
volume delineation, treatment planning, treatment plan evaluation, and treatment machine diagnosis. The
advent of three-dimensional (3D... / on D Radiation Treatment Planning and Conformal Therapy St. Louis br volume delineation treatment planning treatment plan evaluation and
2661.0 On Partially Controlled Multi-Agent Systems - Ronen Brafman (1996)(Correct)
Motivated by the control theoretic distinction between controllable and uncontrollable
events, we distinguish between two types of agents within a multi-agent system: controllable
agents, which are d... / simplify the task of motion planning for each robot while still br T. L.Wellman M. P. Planning and Control. Morgan Kaufmann
2624.9 Bayesian Forecasting - West (1996)(Correct)
rapolation techniques, especially exponential smoothing and exponentially
weighted moving average methods ([20, 71]). Developments of smoothing
and discounting techniques in stock control and producti... / in stock control and production planning areas led to formalisms in terms br the use of sequential statistical learning and optimisation in linear
2578.0 Robot Shaping: Developing Situated Agents through Learning - Dorigo, Colombetti (1993)(Correct)
Learning plays a vital role in the development of situated agents. In this paper, we explore the
use of reinforcement learning to "shape" a robot to perform a predefined target behavior. We
connect bo... / make complex action without prior planning possible Horswill this volume br J. Rosenschein . Action and planning in embedded agents. Robotics
2577.0 Coordination Of Multiple Intelligent Software Agents - Sycara, Zeng (1996)(Correct)
this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types o... / agent architecture and discusses planning control and execution br agents continually interleave planning scheduling coordination and
2566.5 A Crash Course in Arrow Logic - Venema (1997)(Correct)
Modal
Logic
'
&
$
%
b
T
T
T
T
TT
c
a
It has manifestations for a manifold of logical formalisms; for instance, in the case of classical
propositional logic (which we may see as a degenerate ... /
2561.0 Generalization - Wah (1998)(Correct)
In this paper, we define the generalization problem, summarize various approaches in
generalization, identify the credit assignment problem, and present the problem and some
solutions in measuring gen... / space and involves experiment planning instance selection and result br Space Rule Space Experiment Planning Instance Selection Result
2545.3 Complexity Analysis of Real-Time Reinforcement Learning Applied to.. - Koenig, Simmons (1997)(Correct)
This report analyzes the complexity of on-line reinforcement learning algorithms,
namely asynchronous real-time versions of Q-learning and value-iteration, applied to
the problems of reaching any goal... / Search Real-Time Search Planning Path Planning Abstract br Real-Time Search Planning Path Planning Abstract This report
2544.9 An Organizational Learning Approach to Domain Analysis - Henninger, Lappala, Raghavendran (1995)(Correct)
As the application of computer technology continues to
proliferate and diversify, the identification and understanding
of application domains is becoming increasingly important
to software development... / train scheduling capacity planning car management train tracking br CASE tools project planning scheduling word processing
2527.3 AuRA: Principles and Practice in Review - Arkin, Balch (1997)(Correct)
This paper reviews key concepts of the Autonomous Robot Architecture (AuRA). Its structure, strengths, and roots in biology are presented. AuRA is a hybrid deliberative/reactive robotic architecture t... / a deliberative or hierarchical planner based on traditional artificial br depicted in Figure . Two major planning and execution components are
2526.8 Alternative Essences of Intelligence - Brooks, (Ferrell), Irie, Kemp.. (1998)(Correct)
We present a novel methodology for building humanlike
artificially intelligent systems. We take as a model
the only existing systems which are universally accepted
as intelligent: humans. We emphasize... / one sees a continuing interest in planning Littman Hauskrecht br jug does not need to be explicitly planned or controlled since it is the
2525.7 Parametric Appearance Representation - Nayar, Murase (1996)(Correct)
In contrast to the traditional approach, the recognition problem is formulated
as one of matching appearance rather than shape. For any given
vision task, all possible appearance variations define its... / complex objects an illumination planning technique for robust object br recognition such as illumination planning for robust recognition
2520.2 Probabilistic Reasoning As Information Compression By Multiple.. - Wolff (1998)(Correct)
This report introduces the idea that probabilistic reasoning (PrbRs) may be understood as
information compression by multiple alignment, unification and search (ICMAUS). In this
context, multiple alig... / language processing planning and problem solving not yet br .Appendix A reviews some of the planned future developments in this
2518.2 Self-Organizing Maps for Pattern Classification - Atukorale (1999)(Correct)
We are investigating novel architectures of self-organizing maps for pattern classification
tasks. We started our research by investigating a recently proposed algorithm
known as the neural gas (NG) a... / for combining classifiers. We are planning to interpret their outputs as br classifiers for combining. We are planning to interpret their outputs as
2510.7 Rule Induction with Extension Matrices - Wu(Correct)
This paper presents a heuristic, attribute-based, noise-tolerant data mining program,
HCV (Version 2.0), based on the newly-developed extension matrix approach. By dividing
the positive examples (PE) ... / perform tasks like vision planning and diagnosis that usually br HCV is impossible the author is planning to add these facilities to these
2506.7 Between Neuron, Culture And Logic: Explicating The Cognitive Nexus - Gaines(Correct)
The paradigm shift from behaviorism to cognitive science has wrought many
changes in our methodologies, experimental techniques, and models of human activity.
Not the least of these changes has been... / as an account of generalized learning' processes since it makes clear br the amount of data needed in learning and the innately assumed'
2505.8 Benchmarks, Testbeds, Controlled Experimentation, and the Design of.. - Hanks, Pollack, Cohen (1993)(Correct)
The methodological underpinnings of AI are slowly changing. Benchmarks, testbeds, and controlled experimentation are becoming more common. While we are optimistic that this change can solidify the sci... / in the design and validation of planning agents. Hanks was supported br An early benchmark task for AI planning programs was the Sussman anomaly
2504.2 Module-Based Reinforcement Learning: Experiments with a Real Robot - Kalmár, al. (1998)(Correct)
The behavior of reinforcement learning (RL) algorithms is best understood in completely observable, discrete-time controlled Markov chains with finite state and action spaces. In contrast, robot-lea... / Simon and Korf a in planning domains. The attractive property br Korf In the framework of planning with MDPs the plan acceleration
2500.6 An Interpretation of the "Self " From the Dynamical Systems.. - Tani (1998)(Correct)
This study attempts to describe the notion of the "self" using dynamical systems
language based on the results of our robot learning experiments. A neural network
model consisting of multiple modules ... / such as recognition learning or planning it has not made a great br as abstraction representation or planning. Instead the focus was on the
2484.3 Evolutionary Robotics: the Sussex Approach - Harvey, Husbands, Cliff, Thompson.. (1996)(Correct)
this paper is primarily an overview of our work at Sussex. We discuss what artificial evolutionary techniques are appropriate, followed by discussion of which classes unknown Evolutionary Robotics: th... / decomposition into Perception Planning and Action modules. Many people br the classical Perception Planning Action decomposition of robot
2483.5 AI and A-Life: Never Mind The Blocksworld - Cliff (1994)(Correct)
This paper discusses the relationship between Artificial Intelligence (AI) and Artificial
Life (A-Life). A-Life research addresses a wide range of phenomena, some
of which have no obvious bearing on A... / abilities such as language use planning complex sequences of tasks or br morphogenesis evolution learning and communication computer
2480.6 SHOSLIF-N: SHOSLIF for Autonomous Navigation (Phase II) - Weng, Chen (1995)(Correct)
This report presents an unconventional approach to vision-guided autonomous navigation. The system recalls information about scenes and navigational experience using content-based retrieval from a vis... / with high-level semantically based planning. The Hough transform was used to br system does not have a path-planning part. What it does was to repeat
2469.6 Specification and Synthesis of Plans Using the Features and Fluents.. - Karlsson (1995)(Correct)
An autonomous agent operating in a dynamical environment will
face a number of different reasoning problems, one of which is how to
plan its actions in order to pursue its goals. For this purpose, it ... / framework. However most existing planning systems make no use of temporal br from the techniques used by these planners it is useful to analyse and
2462.8 3D Motion and Shape Representations in Visual Servo Control - Fermüller, Cheong, Aloimonos (1995)(Correct)
The study of visual navigation problems requires the integration of visual processes
with motor control processes. Most essential in approaching this integration is the study of
appropriate spatio-tem... / robotics was concerned with the planning and execution of the robot's br On the other hand spatial planning and motion control in D space