From Animals To Animats 4: SAB'96
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A Bradford Book October 1996 ISBN 0-262-63178-4 600 pp. |
From Animals to Animats 4Proceedings of the Fourth International Conference on Simulation of Adaptive BehaviorSeptember 9th-13th, 1996, Cape Cod, Massachusettsedited by Pattie Maes, Maja J. Mataric, Jean-Arcady Meyer, Jordan Pollack, and Stewart W. Wilson
Major topics, all from the perspective of adaptive behavior, include: The Animat Approach to Adaptive Behavior, Perception and Motor Control, Action Selection and Behavioral Sequences, Internal World Models and Navigation, Motivation and Emotions, Learning, Evolution, Coevolution, Collective Behavior. |
CONTENTS
Preface x
THE ANIMAT APPROACH TO ADAPTIVE BEHAVIOR
Building "Fungus Eaters": Design Principles of Autonomous Agents 3
Rolf Pfeifer
Human Simulation of Adaptive Behavior:
Interactive Studies of Pursuit, Evasion, Courtship, Fighting, and Play 13
Philip W. Blythe, Geoffrey F. Miller, and Peter M. Todd
The Engineering of Mind. 23James S. Albus
PERCEPTION AND MOTOR CONTROL
Self-Taught Visually-Guided Pointing for a Humanoid Robot 35
Matthew Marjanovic, Brian Scassellati, and Matthew Williamson
A Self-Organizing Model of the Antennal Lobes 45
Rainer Malaka, Stefan Schmitz, and Wayne M. Getz
Some Adaptive Movements of Animats with Single Symmetrical Sensors 55
Owen Holland and Chris Melhuish
Categorization in a Real-World Agent Using Haptic Exploration and Active Perception 65
Christian Scheier and Dimitrios Lambrinos
How to Attract Females: Further Robotic Experiments in Cricket Phonotaxis 75
Barbara Webb and John Hallam
Coordination in a Six-Legged Walking System:
Simple Solutions to Complex Problems by Exploitation of Physical Properties 84
Holk Cruse, Christian Bartling, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, and Hendrik Wagner
Orientation Behavior Using Registered Topographic Maps 94
Cynthia Ferrell
Locating Odor Sources in Turbulence with a Lobster Inspired Robot 104
Frank Grasso, Thomas Consi, David Mountain, and Jelle Atema
Dynamics for Vision-Based Autonomous Mobile Robots 113
Hartmut Neven, Axel Steinhage, Martin Giese, and Carsten Bruckhoff
Postural Primitives: Interactive Behavior for a Humanoid Robot Arm 124
Matthew M. Williamson
ACTION SELECTION AND BEHAVIORAL SEQUENCES
Action Selection Methods using Reinforcement Learning 135
Mark Humphrys
Towards Adaptive Behavior System Integration.
Using Connectionist Infinite State Automata 145
Tom Ziemke
Centrally-Generated and Reflexive Control Strategies in the Adaptive Behavior of Real and Simulated Animals 155
Jim H. Belanger and Mark A. Willis
Variable Binding and Predicate Representation in a Behavior-Based Architecture 163
Ian Horswill
The Experimental Study and Computer Simulation of Fish Behavior in the Uniform Environment 173
V. A. Nepomnyashchikh and Vera A. Gremyatchikh
Handling Time-Warped Sequences with Neural Networks 180
Claudia Ulbricht
INTERNAL WORLD MODELS AND NAVIGATION
How Insects Learn about the Sun's Course: Alternative Modeling Approaches 193
Jeffrey Dickinson and Fred Dyer
Spatial Exploration, Map Learning, and Self-Positioning with MonaLysa 204
Jean-Yves Donnart and Jean-Arcady Meyer
Adaptive Animat Navigation Based on a Flexibility Model for the Environment 214
Peter Veelaert and Herbert Peremans
Maze Navigation Using Optical Flow 224
Andrew P. Duchon
An Autonomous System for Extracting Fuzzy Behavioral Rules in Mobile Robotics 233
A. G. Pipe and A. Winfield
MOTIVATION AND EMOTIONS
A New Control Architecture Combining Reactivity, Planning, Deliberation and Motivation for Situated Autonomous Agent 245
Francois Michaud, Gerard Lachiver, and Chon Tam Le Dinh
A Finer-Grained Motivational Model of Behaviour Sequencing 255
Emmet Spier and David McFarland
What Are Emotions For? Commitments Management and Regulation Within Animals/Animats Encounters 264
Michel Aube and Alain Senteni
Reinforcement Learning and Animat Emotions 272
Ian Wright
LEARNING
Skinnerbots .285
David S. Touretzky and Lisa M. Saksida
No Bad Dogs: Ethological Lessons for Learning in Hamsterdam 295
Bruce M. Blumberg, Peter M. Todd, and Pattie Maes
Generalization in Instrumental Learning 305
Christian Balkenius
Learning to Use Selective Attention and Short-Term Memory in Sequential Tasks 315
Andrew Kachites McCallum
Explore/Exploit Strategies in Autonomy 325
Stewart W. Wilson
Learning Control Composition in a Complex Environment 333
E. G. Araujo and R. A. Grupen
Modular Growing Network Architectures for TD Learning 343
Pascal Blanchet
Learning to Detour & Schema-based Learning 353
Fernando J. Corbacho and Michael A. Arbib
Emergent Hierarchical Control Structures: Learning Reactive/Hierarchical Relationships in Reinforcement Environment 363
Bruce L. Digney
A Model of Operant Conditioning for Adaptive Obstacle Avoidance 373
Paolo Gaudiano, Eduardo Zalama, Carolina Chang, and Juan Lopez Coronado
Learning Navigational Behaviors Using a Predictive Sparse Distributed Memory 382
Rajesh P. N. Rao and Olac Fuentes
EVOLUTION
A Developmental Model for the Evolution of Complete Autonomous Agents 393
Frank Dellaert and Randall D. Beer
Evolution of Plastic Neurocontrollers for Situated Agents 402
Dario Floreano and Francesco Mondada
Increasing Adaptivity through Evolution Strategies 411
Ralf Salomon
Toward the Evolution of Dynamical Neural Networks for Minimally Cognitive Behavior 421
Randall D. Beer
Emergence of a Multi-Agent Architecture and New Tactics for the Ant Colony Food Foraging Problem Using Genetic Programming 430
Forrest H Bennett III
Cell Interactions as a Control Tool of Developmental Processes for Evolutionary Robotics 440
Peter Eggenberger
Evolution of the Sensorimotor Control in an Autonomous Agent 449
Susanne A. Huber, Hanspeter A. Mallot, and Heinrich H. Bulthoff
The Evolutionary Cost of Learning 458
Giles Mayley
Evolving Obstacle Avoidance Behavior in a Robot Arm 468
David E. Moriarty and Risto Miikkulainen
Automatic Generation of Adaptive Programs 476
Lee Spector and Kilian Stoffel
Sexual Swimmers: Emergent Morphology and Locomotion without a Fitness Function 484
Jeffrey Ventrella
COEVOLUTION
Cooperative Versus Competitive System Elements in Coevolutionary Systems 497
Robert E. Smith and H. B. Cribbs III
Co-evolution of Pursuit and Evasion II: Simulation Methods and Results 506
Dave Cliff and Geoffrey F. Miller
Incremental Self-Improvement for Life-Time Multi-Agent Reinforcement Learning 516
Jieyu Zhao and Jurgen Schmidhuber
Dynamics of Co-evolutionary Learning 526
Hugues Juille and Jordan B. Pollack
COLLECTIVE BEHAVIOR
Oscillation-Enhanced Adaptability in the Vicinity of a Bifurcation: The Example of Foraging in Ants 537
Eric Bonabeau and Francois Cogne
Dominance Interactions, Spatial Dynamics and Emergent Reciprocity in a Virtual World 545
Charlotte K. Hemelrijk
A Study of Territoriality: The Role of Critical Mass in Adaptive Task Division 553
Miguel Schneider Fontan and Maja J Mataric
Emergent Adaptive Lexicons 562
Luc Steels
Synthetic Robotic Language Acquisition by Observation 568
Alexandros Moukas and Gillian Hayes
The Evolution of Communication Schemes over Continuous Channels 580
Gregory M. Saunders and Jordan B. Pollack
Using A-Life to Study Bee Life: The Economics of Central Place Foraging 590
P. de Bourcier
An Evolved Fuzzy Reactive Control System for Co-operating Autonomous Robots 599
Robert Ghanea-Hercock and David P Barnes
On Simulating the Evolution of Communication 608
Jason Noble and Dave Cliff
Collective Behavior by Modular Reinforcement-Learning Animats 618
Norihiko Ono, Kenji Fukumoto, and Osamu Ikeda
Robotic "Food" Chains: Externalization of State and Program for Minimal-Agent Foraging 625
Barry Brian Werger and Maja J Mataric
(Not) Evolving Collective Behaviours in Synthetic Fish 635
Nahum Zaera, Dave Cliff, and Janet Bruten