(Enter summary)
Abstract: A research methodology is proposed for understanding
intelligence through simulation of artificial
animals ("animats") in progressively more
challenging environments while retaining characteristics
of holism, pragmatism, perception, categorization,
and adaptation that are often
underrepresented in standard AI approaches to intelligence.
It is suggested that basic elements of the
methodology should include a theory/taxonomy
of environments by which they can be ordered in
difficulty---one is... (Update)
Cited by: More
Efficient Behavioral Processes - Andreas Birk Holger
(Correct)
Behavioral AI Experiments and Economics - Andreas Birk And
(Correct)
submitted to Machine Learning, , 1--25 () c - Stimulus Response Learning
(Correct)
Active bibliography (related documents): More All
0.5: A Learning Classifier Systems Bibliography - Kovacs, Lanzi (1999)
(Correct)
0.3: Learning to Predict by the Methods of Temporal Differences - Sutton (1988)
(Correct)
0.3: Using Genetic Algorithms to Inductively Reason with Cases in the.. - Pannu (1995)
(Correct)
Similar documents based on text: More All
0.8: The Animat Contribution to Cognitive Systems Research - Guillot, Meyer (2001)
(Correct)
0.2: Active Perception in Virtual Humans - Rabie, Terzopoulos (2000)
(Correct)
0.2: From SAB90 to SAB94 : Four Years of Animat Research - Meyer, Guillot (1994)
(Correct)
Related documents from co-citation: More All
26: A robust layered control system for a mobile robot (context) - Brooks - 1986
20: Intelligence without Representation
- Brooks - 1991
19: Intelligence Without Reason
- Brooks - 1991
BibTeX entry: (Update)
S.W. Wilson, The Animat Path to AI. In J.A. Meyer and S.W. Wilson (Eds.) From animals to animats: Proceedings of the First International Conference on Simulation of Adaptive Behavior, The MIT Press, 1991. http://citeseer.ist.psu.edu/wilson91animat.html More
@inproceedings{ wilson91animat,
author = "Stewart W. Wilson",
title = "The Animat Path to {AI}",
booktitle = "From animals to animats",
editor = "Jean-Arcady Meyer and Stewart W. Wilson",
pages = "15--21",
year = "1991",
url = "citeseer.ist.psu.edu/wilson91animat.html" }
Citations (may not include all citations):
303
Stochastic relaxation (context) - Geman, Geman - 1984
212
The symbol grounding problem
- Harnad - 1990
185
Escaping brittleness: the possibilities of general-purpose l.. (context) - Physica, Holland - 1986
177
Computation: Finite and Infinite Machines (context) - Minsky - 1967
176
Computing machinery and intelligence (context) - Turing - 1950
138
Integrated architectures for learning (context) - Sutton - 1990
58
Competitive learning: from interactive activation to adaptiv.. (context) - Grossberg - 1987
49
Credit assignment in rule discovery systems based on genetic.. (context) - Grefenstette - 1988
40
an artificial intelligence approach (context) - Carbonell, Mitchell et al. - 1986
22
Simulation of adaptive behavior in animats: review and prosp.. (context) - Meyer, Guillot - 1990
20
Landmark learning: an illustration of associative search (context) - Barto, Sutton - 1981
12
Wonderful Life (context) - Gould - 1989
9
and Newell (context) - Laird, Rosenbloom - 1986
3
Proceedings of the Fourth International Workshop on Machine .. (context) - the, Workshop et al. - 1989
2
pattern recognition (context) - Wilson
1
The Need for Biases in Learning Generalizations (context) - Cliffs, Prentice-Hall - 1980
1
Genetic Algorithms and Their Applications: Proceedings of th.. (context) - of - 1987
1
Reprinted in Computers and Thought (context) - October - 1963
1
the retino-cortical mapping (context) - Wassenaar, Netherlands et al. - 1983
1
Knowledge growth in an artificial animal (context) - Studies, Wilson
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://world.std.com/~sw/pubs.html): More
Toward a GA Solution to the Discovery Problem - Wilson (1992)
(Correct)
State of XCS Classifier System Research - Wilson (1999)
(Correct)
GA-Easy Doe Not Imply Steepest-Ascent Optimizable - Wilson (1991)
(Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC