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.
709.0 An Evaluation of Statistical Approaches to Text Categorization - Yang (1999)(Correct)
This paper focuses on a comparative evaluation of a wide-range of text categorization methods, including previously published results on the Reuters corpus and new results of additional experiments. A... / CONSTRUE is an expert system developed at the Carnegie br rules in the expert system. Adapting CONSTRUE to other
489.6 Inductive Logic Programming - Muggleton (1992)(Correct)
A new research area, Inductive Logic Programming, is presently
emerging. While inheriting various positive characteristics of the parent subjects
of Logic Programming and Machine Learning, it is hoped... / in buildings Figure Expert systems built with and without use of br of inductive construction of expert systems see The properties of
438.2 Wrappers for Feature Subset Selection - Kohavi, John (1997)(Correct)
In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest. To achiev... / of a problem are relevant an expert-system designer must decide which
371.4 A Roadmap of Agent Research and Development - Jennings, Sycara, Wooldridge (1998)(Correct)
This paper provides an overview of research and development activities in the field of autonomous
agents and multi-agent systems. It aims to identify key concepts and applications, and to indicate h... / that is often found in expert systems. For example MYCIN the br example MYCIN the paradigm expert system did not interact
274.2 Sequential Monte Carlo Methods for Dynamic Systems - Liu, Chen (1998)(Correct)
A general framework for using Monte Carlo methods in dynamic systems is provided and its wide applications indicated. Under this framework, several currently available techniques are studied and gener... / models or the probabilistic expert systems Spiegelhalter and Lauritzen br and Liang An example of expert system updating can be found in
266.6 CYC: A Large-Scale Investment in Knowledge Infrastructure - Lenat (1995)(Correct)
This article examines the fundamental unknown November 1995/Vol. 38, No. 11 COMMUNICATIONS OF THE ACM
commonsense problems
CYC: A Large-Scale
Investment in Knowledge
Infrastructure
Douglas B. L... / One can think of CYC as an expert system with a domain that spans all br they are high. Builders of expert systems recognize this trap-
227.1 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... / as diagnosis probabilistic expert systems and more recently in br a Bayesian network for an expert system a hidden Markov model or a
218.1 Detecting Computer and Network Misuse Through the Production-Based.. - Lindqvist, Porras (1999)(Correct)
This paper describes an expert system development toolset
called the Production-Based Expert System Toolset
(P-BEST) and how it is employed in the development of a
modern generic signature-analysis en... / Through the Production-Based Expert System Toolset P-BEST Ulf br This paper describes an expert system development toolset called
205.1 Knowledge Discovery in Databases: an Overview - Frawley, Piatetsky-Shapiro, Matheus (1992)(Correct)
this article.
0738-4602/92/$4.00 1992 AAAI
58 AI MAGAZINE
for the 1990s (Silberschatz,
Stonebraker,
and Ullman 1990) unknown This Is a Publication of
The American Association for Artificial Inte... / available software. Several expert system shells use variations of br reports to derive diagnostic expert systems for various models.
176.8 A Tutorial on Learning Bayesian Networks - Heckerman (1995)(Correct)
We examine a graphical representation of uncertain knowledge called a Bayesian network.
The representation is easy to construct and interpret, yet has formal probabilistic
semantics making it suitable... / the knowledge encoded in expert systems usually comes solely from an br uncertain expert knowledge in expert systems Heckerman et al. a
165.2 State Transition Analysis: A Rule-Based Intrusion Detection Approach - Ilgun (1995)(Correct)
This paper presents a new approach to representing
and detecting computer penetrations in real-time.
The approach, called state transition analysis, models penetrations
as a series of state changes th... / form the basis of a rule-based expert system for detecting penetrations br UNIX-specific prototype of this expert system called USTAT is also
155.5 Theory Refinement Combining Analytical and Empirical Methods - Ourston, Mooney (1994)(Correct)
This article describes a comprehensive approach to automatic theory revision.
Given an imperfect theory, the approach combines explanation attempts for
incorrectly classified examples in order to iden... / aspect of the usability of an expert system. The theory refinement system br in the context of developing an expert system for soybean disease diagnosis.
154.6 Learning in the Presence of Malicious Errors - Kearns (1993)(Correct)
In this paper we study an extension of the distribution-free model of learning introduced by Valiant [23] (also known as the probably approximately correct or PAC model) that allows the presence of ma... / In a training session for an expert system this might be due to an
142.0 Optimal composition of real-time systems - Zilberstein, Russell (1996)(Correct)
Real-time systems are designed for environments in which the utility of actions is
strongly time-dependent. Recent work by Dean, Horvitz and others has shown that
anytime algorithms are a useful tool... / example a real-time medical expert system containing a diagnosis
136.3 Experience with EMERALD to Date - Neumann (1999)(Correct)
After summarizing the EMERALD architecture and the evolutionary process from which EMERALD has evolved, this paper focuses on our experience to date in designing, implementing, and applying EMERALD to... / of the P-BEST Production-Based Expert System Tool expert system that br Expert System Tool expert system that allows administrators
136.1 Building Applied Natural Language Generation Systems - Reiter, Dale (1997)(Correct)
In this article, we give an overview of Natural Language Generation (nlg) from an applied
system-building perspective. The article includes a discussion of when nlg techniques
should be used; suggesti... / accounting spreadsheets expert system knowledge bases grid-based br of reasoning carried out by an expert system as in Swartout and
126.0 The Design Of Postgres - Stonebraker, Rowe (1986)(Correct)
This paper presents the preliminary design of a new database management system, called POSTGRES, that is the successor to the INGRES relational database system. The main design goals of the new system... / EMP relation. In addition many expert system applications operate on data
121.7 Trends in Cooperative Distributed Problem Solving - Durfee, Lesser, Corkill (1995)(Correct)
Introduction Cooperative Distributed Problem-Solving (CDPS) studies how a loosely-coupled network of problem solvers can work together to solve problems that are beyond their individual capabilities. ... / a sophisticated architectural expert system composed of individual br work areas each having an expert system responsible for scheduling
118.1 eMediator: a Next Generation Electronic Commerce Server - Sandholm (1999)(Correct)
eMediator, anextgeneration electronic commerceserver, demonstrates ways in which AI, algorithmic support, game theoretic incentive engineering, and GUI design can jointly improve the efficiency of eco... / price-quantity graphs. It has an expert system for helping the user decide br offered. Second there is an expert system that restricts the choice of
117.5 A Static Parameter based Performance Prediction Tool for Parallel.. - Fahringer, Zima (1993)(Correct)
This paper presents a Parameter based Performance Prediction
Tool (P
3
T ) which is part of the Vienna Fortran Compilation
System (VFCS), a compiler that automatically translates
Fortran programs in... / module and an expert system adviser. The performance tool br do not discuss the role of the Expert System Adviser here see .
113.5 Genetic Programming and Emergent Intelligence - Angeline (1994)(Correct)
GP)
[Koza 1992], a variant of genetic algorithms, is an especially interesting form of
computational problem solving. In GP, a population of programs, represented by
expression trees in a task specifi... / of an analytic solution or an expert system using a knowledge base of a
110.1 Applications of Machine Learning and Rule Induction - Langley, Simon (1995)(Correct)
An important area of application for machine learning is in automating the acquisition of knowledge
bases required for expert systems. In this paper, we review the major paradigms for machine
learning... / knowledge bases required for expert systems. In this paper we review the br and the status of the resulting expert system. In closing we identify the
109.0 Learning Program Behavior Profiles for Intrusion Detection - Ghosh, Schwartzbard, Schatz (1999)(Correct)
Profiling the behavior of programs can be a useful
reference for detecting potential intrusions against
systems. This paper presents three anomaly detection
techniques for profiling program behavior t... / activity. Soon thereafter expert systems were used to automatically br The Intrusion Detection Expert System IDES developed at SRI
108.6 Feature Selection for Case-Based Classification of Cloud Types: An.. - Aha (1994)(Correct)
Accurate weather prediction is crucial for many
activities, including Naval operations. Researchers
within the meteorological division of
the Naval Research Laboratory have developed
and fielded sever... / developed and fielded several expert systems for problems such as fog and br in Monterey CA is building an expert system named SIAMES Satellite
97.1 Machine Learning for the Detection of Oil Spills in Satellite Radar.. - Kubat, Holte, Matwin (1998)(Correct)
During a project examining the use of machine learning techniques for oil spill
detection, we encountered several essential questions that we believe deserve the attention of
the research community.... / developed a rule based expert system in which the rules were br on Neural Networks and Expert Systems in Medicine and Healthcare
97.1 Property Specification Patterns for Finite-State Verification - Matthew Dwyer (1998)(Correct)
Finite-state verification (e.g., model checking)
provides a powerful means to detect errors that
are often subtle and difficult to reproduce. Nevertheless,
the transition of this technology from
resea... / of leveraging the experience of expert system designers. Patterns are
96.2 Automated Learning of Decision Rules for Text Categorization - Apte, Damerau, Weiss (1994)(Correct)
We describe the results of extensive experiments on large document collections using optimized
rule-based induction methods. The goal of these methods is to automatically discover
classification pat... / Awell known example of an expert system for this task is the CONSTRUE br service. This is a rule based expert system using manually constructed
92.0 Qualitative Simulation - Kuipers (1986)(Correct)
Qualitative simulation is a key inference process in qualitative causal reasoning.
However, the precise meaning of the different proposals and their
relation with differential equations is often unc... / Introduction An expert system is often a shallow model of br In D. Michie Ed.Expert Systems in the Micro-electronic Age.
90.9 Knowledge Modeling at the Millennium (The Design and Evolution of.. - Grosso, Eriksson, Fergerson.. (1999)(Correct)
It has been 13 years since the first version of Protg was run. The original tool was a small application, aimed mainly at building knowledge-acquisition tools for a few very specialized programs (it g... / subsequent attempts to build expert systems for protocol-based therapy br Protg is neither an expert system itself nor a program that
89.7 Theory Refinement on Bayesian Networks - Buntine (1991)(Correct)
Theory refinement is the task of updating a domain theory in the light of new cases, to be done automatically or with some expert assistance. The problem of theory refinement under uncertainty is revi... / sometimes used in medical expert systems Lauritzen and Spiegelhalter br arrive on a daily basis so the expert system needs to be refined.
87.9 The Application of Inductive Logic Programming to Finite Element Mesh .. - Dolsak (1992)(Correct)
Finite element methods are used extensively by engineers and modelling scientists to analyse stresses in physical structures. These structures are represented quantitatively as finite collections of e... / build a knowledge base for an expert system which would help us to find a br algorithm is required. The expert system should also choose the types
87.4 A Logic for Reasoning about Probabilities - Fagin, Halpern, Megiddo (1990)(Correct)
We consider a language for reasoning about probability which allows us
to make statements such as "the probability of E 1 is less than 1=3" and "the probability
of E 1 is at least twice the probabil... / uncertain information in an expert system. While probability theory is a
86.4 From Influence Diagrams to Junction Trees - Jensen, Jensen, Dittmer (1994)(Correct)
We present an approach to the solution of decision
problems formulated as influence diagrams.
This approach involves a special triangulation
of the underlying graph, the construction
of a junction tre... / propagation algorithms for the expert system shell Hugin Andersen et br decision analysis in the expert system shell Hugin Andersen et
85.7 Mobile Agents In Intrusion Detection And Response - Jansen, Mell, Karygiannis, Marks (2000)(Correct)
Effective intrusion detection capability is an elusive goal, not solved easily or with a single mechanism.
However, mobile software agents go a long way toward realizing the ideal behavior desired in ... / were conceived of as a form of expert system that observes patterns of br usually been implemented using expert system shells that encode and match
85.7 WUM: A Web Utilization Miner - Spiliopoulou, Faulstich (1998)(Correct)
Most web sites are set up with little knowledge on the navigational
behaviour of the users accessing them. Feedback
on the occurring navigation patterns can significantly aid
site owners in efficientl... / to most miners is not an expert system. The expertise belongs to its
80.8 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... / the concept i.e.build an expert system Waterman A problem br A problem with building expert systems is that the theories derived
75.3 Unifying Instance-Based and Rule-Based Induction - Domingos (1996)(Correct)
Several well-developed approaches to inductive learning now exist, but each has specific limitations that are hard to overcome. Multi-strategy learning attempts to tackle this problem by combining m... / creation and deployment of an expert system is the construction of the br reasoning more often found in expert systems. In recent years case-based
72.7 STk Reference Manual - Gallesio (1999)(Correct)
This document provides a complete list of procedures and special forms implemented in version
4.0 of STk. Since STk is (nearly) compliant with the language described in the Revised unknown
Reference... / ask the user to be an X window system expert and force him her to cope with
72.4 Ustat : A Real-time Intrusion Detection System for Unix - Ilgun (1992)(Correct)
Ustat
A Real-time Intrusion Detection System
for UNIX
by
Koral Ilgun
This thesis presents the design and implementation of a real-time intrusion
detection tool called Ustat, a State Transition Analys... / . . Expert System Issues br penetrations and provides an expert system model to detect compromises.
72.1 Empirical Studies on the Disambiguation of Cue Phrases - Hirschberg (1993)(Correct)
Cue phrases are linguistic expressions such as now and well that function as explicit indicators of the structure of a discourse. For example, now may signal the beginning of a subtopic or a return to... / an expert database for an expert system as structurally unavailable. br as an expert database for an expert system then we expect it not
71.6 Probabilistic Deductive Databases - Lakshmanan, Sadri (1994)(Correct)
Knowledge-base (KB) systems must typically deal with imperfection in knowledge, e.g. in the form of imcompleteness, inconsistency, uncertainty, to name a few. Currently KB system development is mainly... / is mainly based on the expert system technology. Expert systems br the expert system technology. Expert systems through their support for
69.5 A Software Architecture to support Misuse Intrusion Detection. - Kumar, Spafford (1995)(Correct)
Misuse Intrusion Detection has traditionally been understood in the literature as the detection of specific, precisely representable techniques of computer system abuse. Pattern matching is well dispo... / for the same Sma expert systems SSHW Sma BK and high br manner. Systems that use expert system rules to encode misuse
66.6 A Pattern Matching Model for Misuse Intrusion Detection - Kumar, Spafford (1994)(Correct)
This paper describes a generic model of matching that can be usefully applied to misuse intrusion detection. The model is based on Colored Petri Nets. Guards define the context in which signatures are... / the following techniques . Expert Systems which code knowledge about br the following sections. . Expert Systems An expert system is defined
65.9 Deadline Assignment in a Distributed Soft Real-Time System - Kao (1993)(Correct)
In a distributed environment, tasks often have processing demands on multiple different
sites. A distributed task is usually divided up into several subtasks, each one to be executed
at some site in o... / with those of known objects an expert system selecting the best defense br in advance how many rules the expert system in our example will trigger.
63.7 Automatic Generation of Technical Documentation - Reiter, Mellish, Levine (1995)(Correct)
Natural-language generation (NLG) techniques can be used to automatically
produce technical documentation from a domain knowledge base and linguistic
and contextual models. We discuss this applicati... / knowledge bases created for expert-system applications etc. This
62.8 Beyond Objects: Components - Meijler, Nierstrasz (1998)(Correct)
Traditional software development approaches do not cope well with the
evolving requirements of open systems. We argue that such systems are best viewed as
flexible compositions of "software componen... / processing programs expert system shells and other kinds of
57.7 Process And Policy: Resource-Bounded Non-Demonstrative Reasoning - Loui (1993)(Correct)
This paper investigates the appropriateness of formal dialectics as a basis for non-monotonic reasoning and defeasible reasoning that takes computational limits seriously. Rules that can come into con... / rules nonmonotonic rules expert system rules and inheritance links
57.7 Applying Techniques to Skeletons - Sterling, Kirschenbaum (1993)(Correct)
This paper concerns our research on developing a theory and methodology appropriate
for systematically building complicated Prolog programs. Programs are constructed
procedurally from standard compone... / for program debugging and expert system shells for example as br R.D. Beer. Meta-programming for expert systems. Journal of Logic
57.1 Predicting Telecommunication Equipment Failures from Sequences of.. - Weiss (2001)(Correct)
The computer and telecommunication industries rely heavily on knowledge-based
expert systems to manage the performance of their networks. These expert systems are
developed by knowledge engineers, w... / heavily on knowledge-based expert systems to manage the performance of br of their networks. These expert systems are developed by knowledge
57.1 Fault Detection by Mining Association Rules from House-keeping Data - Yairi, Kato, Hori (2001)(Correct)
This paper proposes a novel anomaly detection
method for spacecraft systems based on data-mining
techniques. This method automatically constructs a
system behavior model in the form of a set of rules
... / limit-sensing simulation and expert systems have been utilized for this br set of production rules for expert system is usually too expensive to
57.1 Naming the Unnamable: Socionics or the Sociological Turn of/to.. - Malsch (2001)(Correct)
Introduction
The roots of socionics
stretchbae
to the laP
seventiesav eaen
eighties when
computer scientists on the lookout for new
methodsat
techniques for distributed
ai
coordinaed
problem-solvingb... / socia reseaP to the design of expert systems. Although they would not serve br out to builda knowledge-ba expert system on his own without bothering
56.7 Neuronal Architectures for Pattern-theoretic Problems - David Mumford (1994)(Correct)
this paper is the proposition that the computational
analysis of vision -- and speech, tactile sensing, motor control, etc. -- (the theory
of the computation as Marr called it (Marr, 82)) has is reach... / as well. Consider a medical expert system -or a physician. Both of br body. The task of medical expert system or the physician is to
55.0 The User Modeling Shell System BGP-MS - Kobsa, Pohl (1995)(Correct)
BGP-MS is a user modeling shell system that can assist interactive software systems in adapting
to their current users by taking the users' presumed knowledge, beliefs, and goals into account. It
offe... / can be found in the field of expert systems in which experience gained br gained from individual expert systems lead to the development of
55.0 Reasoning Under Varying and Uncertain Resource Constraints - Horvitz (1988)(Correct)
We describe the use of decision-theory to optimize
the value of computation under uncertain
and varying resource limitations. The research is
motivated by the pursuit of formal models of rational
deci... / utility of a medical expert-system inference strategy is the
54.5 Merging with Integrity Constraints - Konieczny, Pérez (1999)(Correct)
this paper they give also a representation theorem for revision operators: unknown Merging with Integrity Constraints
Sebastien Konieczny Ramon Pino Perez
LIFL - CNRS URA 369
Universite de Lille ... / one wants to combine several expert systems. Consider a set of knowledge br human experts. To build an expert system it is reasonable to try to
52.1 The Starburst Active Database Rule System - Widom (1996)(Correct)
This paper describes our development of the Starburst Rule System, an active
database rules facility integrated into the Starburst extensible relational database system
at the IBM Almaden Research Cen... / efficient knowledge bases and expert systems. In this paper we describe br originally designed for expert systems. The Ariel project has focused
51.5 Subtask Deadline Assignment for Complex Distributed Soft Real-Time.. - Kao, Garcia-Molina (1993)(Correct)
Complex distributed tasks often involve parallel execution of subtasks at different nodes.
To meet the deadline of a global task, all of its parallel subtasks have to be finished on time.
Comparing to... / information is then used by an expert system that spots trading br resources like database expert system number crunching computation
51.0 Machine Transliteration - Knight, Graehl (1997)(Correct)
It is challenging to translate names and
technical terms across languages with different
alphabets and sound inventories. These
items are commonly transliterated, i.e., replaced
with approximate phone... / discuss a hybrid neural-net expert-system approach to forward
46.9 Random Worlds and Maximum Entropy - Grove, Halpern, al. (1994)(Correct)
Given a knowledge base KB containing first-order and statistical facts, we consider a principled method, called the random-worlds method, for computing a degree of belief that some formula ' holds giv... / Consider an agent or expert system with some information about a br Similarly AI applications and expert systems typically use only unary
46.8 Utilizing Criteria to Reduce a Set of Test Cases for Expert System.. - Abel, Gonzalez (1997)(Correct)
In practice it is important to provide assurances of
performance for a developed system. This can only
be done if its quality can be guaranteed. Validity
is one fundamental requirement to assure a sys... / Reduce a Set of Test Cases for Expert System Validation Thomas Abel br one in the commercialisation of expert systems XPS A complete system
46.3 Schemes for Fault Identification in Communication Networks - Katzela, Schwartz (1995)(Correct)
A single fault in a large communication network may result in a large number of fault indications (alarms) which makes the isolation of the primary source of failure a difficult task. The problem beco... / application of knowledge based expert systems very appealing. Several br management systems use expert system techniques for fault
46.3 Test Program Generation for Functional Verification of PowerPC.. - Aharon Aharon Dave (1995)(Correct)
A new methodology and test program generator have been
used for the functional verification of six IBM PowerPC processors.
The generator contains a formal model of the PowerPC
architecture and a heuri... / The new generator is an expert system that contains a formal model br and the generation scheme. The expert-system perspective of the Model Based
45.7 A Unifying Object Role Modelling Theory - Bronts, Brouwer, Martens, Proper (1998)(Correct)
This article presents the idea of defining a kernel for object role modelling techniques, upon which
different drawing styles can be based. We propose such a kernel (the ORM kernel) and define, as a ... / Council grant entitled An expert system for improving complex
44.4 A Comparison of Languages which Operationalize and Formalise KADS.. - Fensel, van Harmelen (1994)(Correct)
In the field of Knowledge Engineering, dissatisfaction with the rapidprototyping approach has led to a number of more principled methodologies for the construction of knowledge based systems. Instea... / methodology for developing expert systems including a proposal for a br in most cases to construct an expert system. Nevertheless this method has
44.4 Emulating Soft Real-Time Scheduling Using Traditional Operating.. - Adelberg (1994)(Correct)
Real-time scheduling algorithms are usually only available in the kernels of real-time operating systems, and not in more general purpose operating systems, like Unix. For some soft real-time problems... / in advance how many rules the expert system in our example will trigger.
43.2 The Paradoxical Success of Fuzzy Logic - Elkan (1993)(Correct)
Applications of fuzzy logic in heuristic control have been highly successful,
but which aspects of fuzzy logic are essential to its practical usefulness? This
paper shows that an apparently reasonable... / if any published reports of expert systems in real-world use that reason br in heuristic control and in expert systems and on practical experience
42.8 Using Ontological Engineering to Overcome Common AI-ED Problems - Mizoguchi, al. (2000)(Correct)
This paper discusses long-term prospects of AI-ED research with the aim of giving a clear view
of what we need for further promotion of the research from both the AI and ED points of view.
An analysis... / has been the bottleneck of expert system building. One of the major br systems is based on. Taking an expert system as an example it has a
42.8 Intrusion Detection Systems and Multisensor Data Fusion - Bass (2000)(Correct)
This article provides a brief review of ID concepts
and terms, an overview of the art and science of multisensor
data-fusion technology, and introduces the ID
systems data-mining environment as a comp... / such as Intrusion Detection Expert System IDES Network Intrusion br Network Intrusion Detection Expert System NDIX Wisdom Sense
42.8 Training a Neural-Network Based Intrusion Detector to Recognize Novel .. - And (2000)(Correct)
While many commercial Intrusion Detection Systems (IDS) are deployed, the protection they afford is modest. At the state-of-the-art, IDS produce voluminous alerts, most false alarms, and function main... / like Intrusion Detection Expert System IDES and Next-generation br Generation Intrusion Detection Expert System NIDES A Summary
42.5 NSTAT: A Model-based Real-time Network Intrusion Detection System - Kemmerer (1997)(Correct)
this report is to provide a single
STAT process with a single, chronological audit trail. A client/server approach is
currently being built, where the client side has two threads: a producer that read... / form the basis of a rule-based expert system for detecting penetrations. br the development of a real-time expert system intrusion detection tool. The
42.5 Multilingual thesauri in cross-language text and speech retrieval - Soergel (1997)(Correct)
This paper sets forth a framework for the use of thesauri
as knowledge bases in cross-language retrieval. It provides
a general introduction to thesaurus functions, structure,
and construction with pa... / to make that determination.An expert system for indexing could to a
41.9 An Application of Pattern Matching in Intrusion Detection - Kumar, Spafford (1994)(Correct)
This report examines and classifies the characteristics of signatures used in misuse intrusion detection. Efficient algorithms to match patterns in some of these classes are described. A generalized m... / sec . and pattern matching expert system techniques that look for well br intrusion detection uses an expert system. This paper proposes another
41.9 Reconstructing Proofs at the Assertion Level - Huang (1994)(Correct)
Most automated theorem provers suffer from the problem that
they can produce proofs only in formalisms difficult to understand even for
experienced mathematicians. Effort has been made to reconstruc... / provers as a special sort of expert systems this problem is very similar br the explanation component of an expert system. In order to aid the
41.9 Planning for Modular and Hybrid Fixtures - Wallack (1994)(Correct)
Fixturing is a fundamental problem in mechanical
assembly. Usually, two and a half dimensional objects
can be fixtured in many different ways using a fixture
vice, especially if pegs of different radi... / geometric analysis a fixturing expert system is capable only of describing br planning research focuses on expert systems. Asada and By developed the
40.5 Cue Phrase Classification Using Machine Learning - Litman (1996)(Correct)
Cue phrases may be used in a discourse sense to explicitly signal discourse structure, but
also in a sentential sense to convey semantic rather than structural information. Correctly
classifying cue p... / as an expert database for an expert system then we expect it not br an expert database and an expert system are all possible referents
40.5 Using Argumentation In Text Generation - Elhadad (1995)(Correct)
this paper, we show how the
linguistic theory of argumentation of Anscombres and Ducrot [1] can help to bridge this gap, in identifying
a middle ground between the knowledge necessary to distinguish a... / traces of rule activations in expert system explanation knowledge-based br to the production rules of an expert system. Thus the content generated
39.9 Knowledge Engineering: Principles and Methods - Studer, Benjamins, Fensel (1998)(Correct)
This paper gives an overview about the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling view and describe two ... / transfer from first generation expert systems to second generation expert br systems to second generation expert systems Based on this
39.9 Analysis and Design of Hybrid Control Systems - Malmborg (1998)(Correct)
Contents
Acknowledgments .......................... vii
1. Introduction ............................ 1
1.1 What is a hybrid system? .................. 2
1.2 Why use hybrid control systems ........... / controllers are juggled by an expert system. The autonomous controllers br S Operator Figure . The expert system decides witch controller to
39.9 Multilingual authoring using feedback texts - Power (1998)(Correct)
There are obvious reasons for trying to automate the production of multilingual documentation, especially for routine subjectmatter in restricted domains (e.g. technical instructions). Two approaches ... / a task akin to building an expert system requiring collaboration
38.2 Computer Evolution of Buildable Objects - Funes, Pollack (1997)(Correct)
Creating artificial life forms through evolutionary
robotics faces a "chicken and egg" problem: learning
to control a complex body is dominated by
inductive biases specific to its sensors and effector... / Instead of incorporating an expert system of engineering . Lego is a
37.6 A Domain and Type Enforcement UNIX Prototype - Badger (1996)(Correct)
UNIX system security today often relies on correct
operation of numerous privileged subsystems
and careful attention by expert system administrators.
In the context of global and possibly hostile
netw... / and careful attention by expert system administrators. In the br application programs and expert system administration. This has two
37.6 A Uniform Framework For Integrating Knowledge In Heterogeneous.. - Adali, Emery (1995)(Correct)
Integrating knowledge from multiple sources is an
important aspect of automated reasoning systems.
Wiederhold and his colleagues [5, 6] have proposed the
concept of a mediator -- a device that will ex... / to. She or he is aware of an expert system which questions students br database for universities Expert System with uncertainty Mediatory
37.6 Blocking Gibbs Sampling in Very Large Probabilistic Expert Systems - Jensen, Kong (1995)(Correct)
We introduce a methodology for performing approximate computations in very complex
probabilistic systems (e.g. huge pedigrees). Our approach, called blocking Gibbs, combines
exact local computations... / in Very Large Probabilistic Expert Systems Claus Skaanning Jensen br Keywords probabilistic expert system graphical model Bayesian
37.1 Combining Prior Symbolic Knowledge And Constructive Neural Network.. - Fletcher, Obradovic (1993)(Correct)
The concepts of knowledge-based systems and machine learning are combined by integrating an expert system and a constructive neural networks learning algorithm. Two approaches are explored: embedding ... / are combined by integrating an expert system and a constructive neural br are explored embedding the expert system directly and converting the
37.1 Converting a Rule-based Expert System into a Belief Network - Korver (1993)(Correct)
The theory of belief networks offers a relatively new approach for dealing with uncertain
information in knowledge-based (expert) systems. In contrast with the heuristic techniques
for reasoning wit... / Converting a Rule-based Expert System into a Belief Network br information in knowledge-based expert systems. In contrast with the
37.0 Foundation and Application of Knowledge Base Verification - Preece (1994)(Correct)
Anomalies such as redundant, contradictory and deficientknowledge in a knowledge base are
symptoms of probable errors. Detecting anomalies is a well-established method for verifying
knowledge-based sy... / the knowledge base of the expert system in an br of anomaly taken from real expert system applications appear in the
35.0 A Multistrategy Approach To Theory Refinement - Mooney, Ourston (1993)(Correct)
This chapter describes a multistrategy system that employs independent
modules for deductive, abductive, and inductive reasoning to revise an arbitrarily
incorrect propositional Horn-clause domain the... / in the development of expert systems Ginsberg et al. br aspect of the usability of an expert system. We have developed a
35.0 Detecting Intruders in Computer Systems - Lunt (1993)(Correct)
Although a computer system's primary defense is its access controls, computer
system access controls cannot be relied upon in most cases to safeguard against a
penetration or insider attack. Even the ... / a real-time intrusion-detection expert system NIDES NIDES is an br users. NIDES also includes expert-system rules that characterize
34.7 CLAIRE: Combining Objects and Rules for Problem Solving - Caseau, Laburthe (1996)(Correct)
This paper describes a new approach towards code reuse through a high-level programming language. This work has been developed in the context of combinatorial optimization for industrial problems, whe... / forward chaining as in any expert system shell. Versioning is the
34.5 Artificial Intelligence and Intrusion Detection: Current and Future.. - Frank (1994)(Correct)
Intrusion Detection systems (IDSs) have previously been built by hand. These systems have difficulty successfully classifying intruders, and require a significant amount of computational overhead maki... / from examples and training. An expert system handles problems using a br human reasoning. However most expert systems must undergo continuous
34.2 Research in Intrusion-Detection Systems: A Survey - Axelsson (1998)(Correct)
There is currently need for an up-to-date and thorough survey of the research in the eld of computer and network intrusion detection. This paper presents such a survey, with a taxonomy of intrusion de... / . . MIDAS Expert systems in intrusion detection A case br . . . Application of the expert system .
34.0 A Learnability Model for Universal Representations - Muggleton, Page, Jr. (1997)(Correct)
This paper defines a new computational model of inductive learning, called U-learnability
(Universal Learnability), that is well-suited for rich representation languages, most notably for
universal (... / motivated by the needs of expert system technology developed a model
34.0 Evaluation and Ordering of Rules Extracted from Feedforward Networks - Taha (1997)(Correct)
Rules extracted from trained feedforward networks
can be used for explanation, validation, and crossreferencing
of network output decisions. This paper
introduces a rule evaluation and ordering mechan... / output with that of the derived expert system based on an approach
32.0 Generality In Artificial Intelligence - McCarthy (1987)(Correct)
My 1971 Turing Award Lecture was entitled "Generality in Artificial Intelligence
". The topic turned out to have been overambitious in that I discovered
that I was unable to put my thoughts on the sub... / the current proliferation of expert system shells. Production systems br E.H eds. Rule-based expert systems the MYCIN experiments of the
30.9 Efficient and Constructive Algorithms for the Pathwidth and Treewidth .. - Bodlaender, Kloks (1993)(Correct)
In this paper we give, for all constants k, l, explicit algorithms, that given a graph G = (V; E) with a tree-decomposition of G with treewidth at most l, decide whether the treewidth (or pathwidth) o... / e.g. ffl theory of expert systems. See e.g. ffl br graph. Also researchers in expert system theory have found out that
28.9 Cloud Classification Using Error-Correcting Output Codes - Aha, Bankert (1996)(Correct)
Novel artificial intelligence methods are used to classify 16x16 pixel regions
(obtained from Advanced Very High Resolution Radiometer (AVHRR) images) in
terms of cloud type (e.g., stratus, cumulus, e... / that use AI include AESOP an expert system for shipboard obscuration br image analysis meteorological expert system Fett et al. ExperCAT
28.9 Overview of the STanford Real-time Information Processor (STRIP) - Adelberg (1996)(Correct)
We believe that the greatest growth potential for soft realtime
databases is not as isolated monolithic databases but
as components in open systems consisting of many heterogeneous
databases. In such ... / STRIP b Program Trading Expert System Feed Provider Trader br Here STRIP is used by an expert system to store security prices and
28.9 Rule-based Object Coordination - Andreoli, Gallaire, Pareschi (1995)(Correct)
We discuss a framework in which the traditional features of
objects (encapsulation, communication, etc.) are enhanced with synchronization
and coordination facilities, using the declarative power of... / especially in the field of expert system design. In this context rules br e.g. the facts of an expert system. Each rule specifies how to
28.8 A 2000 Rule Expert System Without Knowledge Engineers - Preston, Edwards, Compton (1993)(Correct)
A knowledge acquisition methodology, Ripple Down Rules, has been developed which only allows knowledge to be used in the context in which it is acquired and ensures that only valid rules can be added ... / A Rule Expert System Without Knowledge Engineers br a large rule medical expert system. This system is in routine
28.5 A glimpse into the future of ID - Bass, Gruber (2001)(Correct)
Cyberspace is a complex dimension of both enabling and inhibiting data flows in electronic data networks. Current generation intrusion detection (ID) systems are not technologically advanced enough to... / among them Intrusion Detection Expert System IDES Network Intrusion br Network Intrusion Detection Expert System NDIX and Wisdom Sense
28.5 GIB: Imperfect Information in a Computationally Challenging Game - Ginsberg (2001)(Correct)
This paper investigates the problems arising in the construction of a program to play the unknown Journal of Arti cial Intelligence Research 14 (2001) 303-358 Submitted 10/00; published 6/01
GIB: Impe... / Nygate produced an expert system that could recognize squeezes
28.5 Mining Constrained Association Rules to Predict Heart Disease - Carlos Ordonez Edward (2001)(Correct)
This work describes our experiences on discovering association
rules in medical data to predict heart disease. We
focus on two aspects in this work: mapping medical data to
a transaction format suitab... / validating rules used by an expert system to aid in diagnosing coronary br disease and thus can enrich the expert system knowledge base. At the moment
28.5 From Declarative Signatures to Misuse IDS - Jean-Philippe Pouzol And (2001)(Correct)
In many existing misuse intrusion detection systems, intrusion
signatures are very close to the detection algorithms. As a consequence,
they contain too many cumbersome details. Recent work have
pr... / rules in ASAX expert systems in EMERALD The languages br examples involving ASAX and the expert system P-BEST used in EMERALD. Our
28.5 Optimal Curing for Thermoset Matrix Composites: Thermochemical.. - Li, Zhu, Geubelle, Tucker (2001)(Correct)
A design sensitivity analysis is used to optimize the applied wall temperature vs. time in autoclave
curing for thermoset matrix composites. The calculation minimizes the cure time and obeys a maximu... / of various rule-based heuristic expert systems to guide process development. br Pillai et al. developed an expert system-based tool incorporating
28.5 ActiveMath: System Description - Melis, Andres, Goguadse, Libbrecht.. (2001)(Correct)
the knowledge base MBase [3], a presentation
planner (see x2), a user model, a pedagogical module, and deduction and
The project which led to the results presented in this paper was funded by the Ge... / presentation planner employs the expert system Jess to dynamically br Friedman-Hill. Jess the Java Expert System Shell .
28.5 A comparison between two neural network rule extraction techniques.. - Hayashi (2000)(Correct)
Neural networks have been widely used as tools for prediction in medicine. We
expect to see even more applications of neural networks for medical diagnosis as recently
developed neural network rule ... / which employed fuzzy neural expert system and a more conventional br Y. Hayashi Neural expert system using fuzzy teaching input and
28.5 Distributed Information Retrieval - Callan (2000)(Correct)
A multi-database model of distributed information retrieval is presented, in
which people are assumed to have access to many searchable text databases.
In such an environment, full-text information re... / The Expert Conit System Using Expert System Technology marcus
28.5 Intrusion Detection Systems & Multisensor Data Fusion: Creating.. - Bass (2000)(Correct)
Next generation cyberspace intrusion detection (ID) systems will require the fusion of data from myriad heterogeneous distributed network sensors to effectively create cyberspace situational awareness... / i.e. Intrusion Detection Expert System IDES Network br Network Intrusion Detection Expert System NDIX and Wisdom
28.5 Towards a Generic E-Negotiation Platform - Benyoucef, Keller, Lamouroux.. (2000)(Correct)
To investigate the various research questions concerning e-negotiations, an appropriate software infrastructure
is needed. As part of our project on electronic marketplaces, we have developed the Gen... / is similar to that taken by expert system shells and by high-level
28.5 Embedding Fuzzy Logic in Content Based Image Retrieval - Vertan, Boujemaa (2000)(Correct)
This paper focuses on the possible embedding of the uncertainty
regarding the colors of an image into histogramtype
descriptors. The uncertainty naturally arises from
both the quantization of the colo... / as an instance of a rulebased expert system. In this contribution we will br Sets Decision Making and Expert Systems. Kluwer Academic Publ.
28.5 Subtyping and Polymorphism in Object-Role Modelling - Halpin, Proper (1998)(Correct)
Although Entity-Relationship (ER) modelling techniques are commonly used for information modelling,
Object-Role Modelling (ORM) techniques are becoming increasingly popular, partly because they
incl... / Council grant entitled An expert system for improving complex database
27.1 Timetabling in Constraint Logic Programming - Azevedo, Barahona (1994)(Correct)
Generating timetables is a cumbersome and time consuming task, but programs developed to solve them are
usually meant for a particular organisation and can not be easily adapted. Constraint Logic Prog... / presents the main features of an expert system developed with DOMLOG to solve br this task. The development of an expert system to generate the timetables of
27.1 MPA: a Stochastic Process Algebra - Bernardo (1994)(Correct)
s are available from the same host in the directory /pub/TR/UBLCS/ABSTRACTS in
plain text format. All local authors can be reached via e-mail at the address last-name@cs.unibo.it.
UBLCS Technical Rep... / July . - HERMES an Expert System for the Prognosis of Hepatic
25.5 Knowledge Representation with Logic Programs - Gerhard Brewka, Jürgen Dix (1997)(Correct)
In this tutorial-overview we show how Knowledge Representation
(KR) can be done with the help of generalized logic programs. We start
by introducing the core of PROLOG, which is based on definite logi... / more fruitful. This led to the expert systems boom which produced many br many useful application systems expert system building tools and expert
25.5 The TreeBanker: a Tool for Supervised Training of Parsed Corpora - Carter (1997)(Correct)
I describe the TreeBanker, a graphical
tool for the supervised training involved in
domain customization of the disambiguation
component of a speech- or languageunderstanding
system. The TreeBanker
pr... / a user who need not be a system expert with a range of properties br as well. At a later stage a system expert may ask the TreeBanker to
24.7 Generating Explanations In Context - Carenini, Moore (1993)(Correct)
If user interfaces are to reap the benefits of natural language interaction, they must be endowed with
the properties that make human natural language interaction so effective. Human-human explanation... / generator for an explainable expert system framework known as EES br XPLAIN is a medical expert system capable of justifying its
24.1 Cooperative Problem Solving - Tad (1992)(Correct)
We present a quantitative assessment of the value of cooperation for solving constraint
satisfaction problems through a series of experiments, as well as a general
theory of cooperative problem solv... / the outputs. An expert system using a knowledge base of br systems using rule-based expert systems. In Poligon their
23.5 Using a Description Classifier to Enhance Deductive Inference - MacGregor (1991)(Correct)
The representation languages found in many expert
system shells are hybrids composed of a frame language
and a rule language. Unfortunately, the frame and rule
components in these systems are not well... / languages found in many expert system shells are hybrids composed of br in the current generation of expert system shells. For example LOOM
23.1 A Case Study: Assumptions and Limitations of a Problem-Solving Method - Fensel (1995)(Correct)
this
paper is to outline the way in which different variations of the same psm have different
assumptions or, conversely, how different assumptions holding in a domain can be used to
derive the approp... / Subject of the paper Expert systems knowledge acquisition br for second generation expert systems see David Krivine and
23.1 Development of an Intelligent Monitoring and Control System for a.. - Afjeh (1995)(Correct)
The NASA Numerical Propulsion System Simulation
(NPSS) project is exploring the use of computer simulation
to facilitate the design of new jet engines. Several key issues
raised in this research are b... / to support experimentation with expert system techniques for active control br and exploring the use of expert system techniques to assist the user
23.1 FBRL:A Function and Behavior Representation Language - Sasajima, KITAMURA, IKEDA, MIZOGUCHI (1995)(Correct)
Although a lot of researchers have pointed out the significance of
functional representation, the general relations between function and
behavior is not fully understood yet. We consider the knowled... / model building model-based expert systems Introduction One of br FBRL functional models an expert system can generate various types of
23.0 Decision Theory in Expert Systems and Artificial Intelligence - Horvitz, Breese (1988)(Correct)
Despite their different perspectives, artificial intelligence (AI) and the disciplines of decision science have common roots and strive for similar goals. This paper surveys the potential for addressi... / Decision Theory in Expert Systems and Artificial Intelligence br reasoning review the dominant expert-system paradigm and survey some
22.8 Using Explicit Requirements and Metrics for Interface Agent User.. - Brown, Jr. (1998)(Correct)
The complexity of current computer systems and software
warrants research into methods to decrease the cognitive
load on users. Determining how to get the right information
into the right form with th... / integrated into an expert system shell called PESKI br PESKI Probabilities Expert Systems Knowledge and Inference is
22.6 Causal probabilistic networks with both discrete and continuous.. - Olesen (1993)(Correct)
An extension of the expert system shell HUGIN to include continuous
variables, in the form of linear additive normally distributed variables, is presented.
The theoretical foundation of the method was... / Abstract An extension of the expert system shell HUGIN to include br following an extension of the expert system shell HUGIN Andersen
22.6 Effective Learning in Dynamic Environments by Explicit Context.. - Widmer (1993)(Correct)
Daily experience shows that in the real world, the meaning of many concepts
heavily depends on some implicit context, and changes in that context can cause
radical changes in the concepts. This paper ... / was successfuly applied in an expert-system-driven control mechanism for
22.4 Database Support for Problematic Knowledge - Kiebling, Thöne, Güntzer (1992)(Correct)
Recently substantial research efforts have been spent on extending database technology
in various ways towards a better support of applications of the nineties. In contrast,
the tough problems of addi... / highly subjective information. Expert systems in such fields are often used br certainties as many expert systems do we may come to the
22.2 Deductive Object Databases - Bertino (1994)(Correct)
This paper proposes a new approach to model deductive object databases. Each object database is described by means of a Datalog language extended with extensional updates, called U-Datalog. Each objec... / Artificial Intelligence when an expert system requires The work of D. br specific case of a distributed expert system the distribution of data rules
22.2 Using Knowledge Acquisition and Representation Tools to Support.. - Gaines (1994)(Correct)
Widespread access to the Internet has led to the formation of geographically dispersed scientific
communities collaborating through the network. The tools supporting such collaboration
currently are b... / tools that are in routine use in expert system applications to the analysis br the common stereotype of an expert system'If an artifact is asserted
22.2 Revision of Production System Rule-Bases - Murphy (1994)(Correct)
We describe CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R differs from previous theory revision systems in that it operates on forward chaining production systems. Re... / systems use ART a commercial expert system that has many of the same br rule formalism in deployed expert systems. First production rules are
21.2 Combining Formal Concept Analysis and Ripple Down Rules to Support.. - Richards, Compton (1997)(Correct)
Ripple down rules have addressed two of the major limitations of first generation Expert Systems (ES), the maintenance and knowledge acquisition (KA) bottleneck problems. This is achieved through ac... / limitations of first generation Expert Systems ES the maintenance and br ontologies and design of Expert Systems ES at the knowledge level
21.2 Modules and Updatable Graph Views for PROgrammed Graph REwriting.. - Winter, Schürr (1997)(Correct)
Graph Types. Having made the experience that
"full data abstraction" is in conflict with the visual programming paradigm of PROGRES,
we are now starting to add active database system concepts for th... / of production rule-based expert systems like DENDRAL or GPS br developers of the late ies or expert system developers of the late ies.
21.2 OPIUM: An Extendable Trace Analyser for PROLOG - Ducassé (1997)(Correct)
Traces of program executions are a helpful source of information for automated debugging. They, however, usually give a too low level picture of the executed program. Opium, our extendable trace analy... / . . A Simple Expert System . br sketch of explanation for the expert system could be designed without
20.5 PARULEL: Parallel Rule Processing Using Meta-rules for Redaction - Stolfo, Wolfson, Chan, Dewan.. (1991)(Correct)
Although the problem of increasing the speed of rule-based programs has been studied
for a long while, so far the level of parallelism achieved under various parallel processing
schemes fails to meet ... / This is evident in the ALEXSYS expert system discussed in Sec. . . br This paper describes a typical expert system application in the sense that
20.5 ID2-of-3: Constructive Induction of M-of-N Concepts for.. - Murphy, Pazzani (1991)(Correct)
We discuss an approach to constructing composite features during the induction of decision trees. The composite features correspond to m-of-n concepts. There are three goals of this research. First, w... / example a successful medical expert system makes use of criteria br The evaluation of medical expert systems Experience with the AI RHEUM
20.2 Combining Symbolic and Connectionist Learning Methods to Refine.. - Mahoney (1996)(Correct)
iv
Chapter 1 Introduction 1
1.1 The Knowledge-Acquisition Bottleneck . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Rule-Base Revision . . . . . . . . . . . . . . . . . . . . . . . . . . .... / of research into developing expert systems Buchanan Shortliffe br the human expert. The use of expert systems has had a significant impact
20.0 Specifying Intonation from Context for Speech Synthesis - Prevost(Correct)
This paper presents a theory and a computational implementation for generating prosodically appropriate synthetic speech in response to database queries. Proper distinctions of contrast and emphasis a... / domain of TraumAID a medical expert system in the context of which we are
19.1 Detecting and Correcting Errors in Rule-Based Expert Systems: An.. - Pazzani (1991)(Correct)
In this paper, we argue that techniques proposed for combining empirical and
explanation-based learning methods can also be used to detect errors in rule-based
expert systems, to isolate the blame for... / Correcting Errors in Rule-Based Expert Systems An Integration of Empirical br to detect errors in rule-based expert systems to isolate the blame for
18.5 Evaluation Methodologies for Intelligent Tutoring Systems - Mark (1993)(Correct)
As intelligent tutoring system (ITS) issues are investigated and intelligent tutoring systems are developed, evaluation methodology becomes important. Basic researchers, system developers, and educato... / tutoring systems research expert systems design computer-based br analog to an ITS is an expert system while the closest
18.5 On Relating Some Models for Concurrency - Degano, Gorrieri, Vigna (1993)(Correct)
s are available from the same host in the directory /pub/TR/UBLCS/ABSTRACTS in
plain text format. All local authors can be reached via e-mail at the address last-name@cs.unibo.it.
UBLCS Technical Rep... / July . - HERMES an Expert System for the Prognosis of Hepatic
18.1 Multisensor Data Fusion for Next Generation Distributed Intrusion.. - Bass (1999)(Correct)
Next generation cyberspace intrusion detection systems will fuse data from heterogeneous distributed network sensors to create cyberspace situational awareness. This paper provides a few first steps t... / i.e. Intrusion Detection Expert System IDES Network br Network Intrusion Detection Expert System NDIX and Wisdom
18.1 Vision-Based Speaker Detection Using Bayesian Networks - Rehg, Murphy, al. (1999)(Correct)
The development of user interfaces based on vision and
speech requires the solution of a challenging statistical inference
problem: The intentions and actions of multiple individuals
must be inferred ... / employed in a wide range of expert system and decision support
18.1 Reasoning with Probabilities and Maximum Entropy: The System PIT and.. - Schramm, Ertel (1999)(Correct)
We present a theory, a system and an application for common sense reasoning based on propositional logic, the probability calculus and the concept of maximum entropy. The task of the system Pit (Proba... / A number of expert systems for this task have been br Lexmed is a learning expert system for medical diagnosis
18.1 Potential Cases, Methodologies, and Strategies of Synthesis of.. - Minjie Zhang School (1999)(Correct)
In this paper, firstly, potential synthesis cases in distributed expert systems (DESs) and types of DESs
are identified. Based on these results, necessary conditions of synthesis strategies in differ... / of Solutions in Distributed Expert Systems Minjie Zhang School of br synthesis cases in distributed expert systems DESs and types of DESs are
17.6 Change-oriented version descriptions in EPOS - Gulla, Karlsson, Yeh (1991)(Correct)
In EPOS, 1 software configuration management is based on the change-oriented versioning model. As part of a configured system specification, a version description is used to select the desired version... / th March . EPOS Expert System for Program and System
17.3 Explaining Reasoning In Description Logics - McGuinness (1996)(Correct)
OF THE DISSERTATION
EXPLAINING REASONING IN DESCRIPTION
LOGICS
by Deborah L. McGuinness
Dissertation Director: Alexander Borgida
Knowledge-based systems, like other software systems, need to be debugg... / of rule firings in a rule-based expert system or more generally by an br . . Explanation in Expert Systems .
17.3 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... / s several high-profile expert system successes were documented br this work e.g. expert systems construction remains a