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From Animals To Animats 3: SAB'94 |
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From Animals to Animats 3Proceedings of the Third International Conference on Simulation of Adaptive BehaviorAugust 8-12, 1994, Brighton, Englandedited by Dave Cliff, Philip Husbands, Jean-Arcady Meyer, and Stewart W. Wilson
"The animat approach is attractive not just as a way of developing and testing theories of biological systems. It also constitutes an approach to the design of practical artificial systems in particular robots, which, it is hoped, will overcome many of the limitations of more conventional methods within artificial intelligence and engineering. The interplay between biological and engineering concerns and the commonality between research from both perspectives is one of the most promising aspects of animat research and is an intriguing theme throughout the book." - The Quarterly Journal of Experimental Psychology (review of the first proceedings volume)From Animals to Animats 3 brings together research intended to advance the frontier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of "animat" - an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectures capable of inducing adaptive behavior in real or artificial animals.
CONTENTS
Preface x
THE ANIMAT APPROACH TO ADAPTIVE BEHAVIOR
From SAB90 to SAB94: Four Years of Animat Research 2 Jean-Arcady Meyer and Agnes Guillot
Mechanism and Process in Animal Behavior: Models of Animals, Animals as Models 12 Herbert L. Roitblat
Coherent Behavior from Many Adaptive Processes 22 Rodney A. Brooks
Stability in Adaptation and Learning 30 Jean-Jacques E. Slotine
PERCEPTION AND MOTOR CONTROL
Modeling the Role of Cerebellum in Prism Adaptation 36 Michael A. Arbib, Nicolas Schweighofer, and W. T. Thach
Robotic Experiments in Cricket Phonotaxis 45 Barbara Webb
How to Watch Your Step: Biological Evidence and an Initial Model 55 Patrick R. Green
On Why Better Robots Make It Harder 64 Tim Smithers
Insect Vision and Olfaction: Different Neural Architectures for Different Kinds of Sensory Signal? 73 D. Osorio, Wayne M. Getz, and Jurgen Rybak
The Interval Reduction Strategy for Monitoring Cupcake Problems 82 Paul R. Cohen, Marc S. Atktin and Eric A. Hansen
Visual Control of Altitude and Speed in a Flying Agent 91 Fabrizo Mura and Nicolas Franceschini
ACTION SELECTION AND BEHAVIORAL SEQUENCES
What Is Cognitive and What Is Not Cognitive? 102 Frederick Toates
Action-Selection in Hamsterdam: Lessons from Ethology 108 Bruce Blumberg
Behavioral Dynamics of Escape and Avoidance: A Neural Network Approach 118 Nestor A. Schmajuk
Organizing an Animat's Behavioural Repertoires Using Kohonen Feature Maps 128 Nigel Ball
Action Selection for Robots in Dynamic Environments through Inter- Behaviour Bidding 138 Michael K. Sahota
MOTIVATION AND EMOTION
An Hierarchical Classifier System Implementing a Motivationally Autonomous Animat 144 Jean-Yves Donnart and Jean-Arcady Meyer
Using Second Order Neural Connections for Motivation of Behavioral Choices 154 Gregory M. Werner
INTERNAL WORLD MODELS AND COGNITIVE PROCESSES
Spatial Learning and Representation in Animats 164 Tony J. Prescott
Location Recognition in Rats and Robots 174 William D. Smart and John Hallam
Emergent Functionality in Human Infants 179 Julie C. Rutkowska
Connectionist Environment Modelling in a Real Robot 189 William Chesters and Gillian Hayes
A Hybrid Architecture for Learning Continuous Environmental Models in Maze Problems 198 A. G. Pipe, T. C. Fogarty, and A. Winfield
A Place Navigation Algorithm Based on Elementary Computing Procedures and Associative Memories 206 Simon Benhamou, Pierre Bovet, and Bruno Poucet
Self-Organizing Topographic Maps and Motor Planning 214 Pietro Morasso and Vittorio Sanguineti
The Effect of Memory Length on the Foraging Behavior of a Lizard 221 Sharoni Shafir and Jonathan Roughgarden
CHARACTERIZATION OF ENVIRONMENTS
The Blind Breeding the Blind: Adaptive Behavior without Looking 228 Peter M. Todd, Stewart W. Wilson, Anil B. Somayaji, and Holly A. Yanco
Memoryless Policies: Theoretical Limitations and Practical Results 238 Michael L. Lithnan
LEARNING
A Comparison of Q-Learning and Classifier Systems 248 Marco Dorigo and Hugues Bersini
Paying Attention to What's Important. Using Focus of Attention to Improve Unsupervised Learning 256 Leonard N. Foner and Pattie Maes
Learning Efficient Reactive Behavioral Sequences from Basic Reflexes in a Goal-Directed Autonomous Robot 266 Jose del R. Millan
The Importance of Leaky Levels for Behavior-Based AI 275 Gregory M. Saunders, John F. Kolen, and Jordan B. Pollack
A Topological Neural Map for On-Line Learning: Emergence of Obstade Avoidance in a Mobile Robot 282 Philippe Gaussier and Stephane Zrehen
Reinforcement Tuning of Action Synthesis and Selection in a 'Virtual Frog' 291 Simon Giszter
Achieving Rapid Adaptations in Robots by Means of External Tuition 301 Ulrich Nehmzow and Brendan McGonigle
Two-Link-Robot Brachiation with Connectionist Q-Learning 309 Fuminori Saito and Toshio Fukuda
An Architecture for Learning to Behave 315 Ashley M. Aitken
Reinforcement Learning for Homeostatic Endogenous Variables 325 Hugues Bersini
An Architecture for Representing and Learning Behaviors by Trial and Error 334 Pascal Blanchet
A Distributed Adaptive Control System for a Quadruped Mobile Robot 344 Bruce L. Digney and M. M. Gupta
Reinforcement Learning with Dynamic Covering of State-Action Space: Partitioning Q-Learning 354 Remi Munos and Jocelyn Patinel
The Five Neuron Trick: Using Classical Conditioning to Learn How to Seek Light 364 Tom Scutt
Adaptation in Dynamic Environments through a Minimal Probability of Exploration 371 Gilles Venturini
EVOLUTION
Integrating Reactive, Sequential, and Learning Behavior Using Dynamical Neural Networks 382 Brian Yamauchi and Randall Beer
Seeing the Light: Artificial Evolution, Real Vlsion 392 Inman Haruey, Phil Husbands, and Daue Cliff
Evolution of Corridor Following Behavior in a Noisy World 402 Craig W. Reynolds
Protean Behavior in Dynamic Games: Arguments for the Co-Evolution of Pursuit-Evasion Tactics 411 Geoffrey F. Miller and Dave Cliff
Automatic Creation of an Autonomous Agent: Genetic Evolution of a Neural-Network Driven Robot 421 Dario Floreano and Francesco Mondada
The Effect of Parasitism on the Evolution of a Communication Protocol in an Artificial Life Simulation 431 Phil Robbins
COLLECTIVE BEHAVIOR
Towards Robot Cooperation 440 David McFarland
A Case Study in the Behavior-Oriented Design of Autonomous Agents 445 Luc Steels
Learning to Behave Socially 453 Maja J. Mataric
Signalling and Territorial Agression: An Investigation by Means of Synthetic Behavioral Ecology 463 Peter de Bourcier and Michael Wheeler
Integration of Reactive and Telerobotic Control in Multi-Agent Robotic Systems 473 Ronald C. Arkin and Khaled S. Ali
MINIMEME: Of Life and Death in the Noosphere 479 Stephane Bura
Learning Coordinated Motions in a Competition for Food between Ant Colonies 487 Masao Kubo and Yukinori Kakazu
APPLIED ADAPTIVE BEHAVIOR
Emergent Colonization and Graph Partitioning 494 Pascale Kuntz and Dominique Snyers
Diversity and Adaptation in Populations of Clustering Ants 501 Erik D. Lumer and Baldo Faieta
Author Index 509
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18:18 GMT; 22/03/08 |
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