From Animals to Animats 3: Proceedings of the Third International Conference on Simulation of Adpative Behavior

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Overview

August 8-12, 1994, Brighton, England

From Animals to
Animats 3
brings together research intended to advance the fron tier 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.

Topics include: - Individual and collective behavior. - Neural correlates of behavior. - Perception and motor control. - Motivation and emotion. - Action selection and behavioral sequences. - Ontogeny, learning, and evolution. -
Internal world models and cognitive processes. - Applied adaptive behavior. - Autonomous robots. -
Heirarchical and parallel organizations. - Emergent structures and behaviors. - Problem solving and planning. - Goal-directed behavior. - Neural networks and evolutionary computation. -
Characterization of environments.

A Bradford Book

The MIT Press

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Product Details

  • ISBN-13: 9780262531221
  • Publisher: MIT Press
  • Publication date: 7/27/1994
  • Series: Complex Adaptive Systems
  • Pages: 519
  • Product dimensions: 8.30 (w) x 10.90 (h) x 1.20 (d)

Meet the Author

Phil Husbands is Professor of Computer Science and Artificial Intelligence at the University of Sussex.

Jean-Arcady Meyer is Emeritus Research Director at CNRS (Centre National de la Recherche
Scientifique) and a researcher at the Institute of Intelligent Systems and Robotics, University
Pierre and Marie Curie, Paris.

Stewart W. Wilson is a scientist at The Rowland Institute for Science, Cambridge,
Massachusetts.

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Table of Contents

From SAB90 to SAB94: Four Years of Animal Research 2
Mechanism and Process in Animal Behavior: Models of Animals, Animals as Models 12
Coherent Behavior from Many Adaptive Processes 22
Stability in Adaptation and Learning 30
Modeling the Role of Cerebellum in Prism Adaptation 36
Robotic Experiments in Cricket Phonotaxis 45
How to Watch Your Step: Biological Evidence and an Initial Model 55
On Why Better Robots Make It Harder 64
Insect Vision and Olfaction: Different Neural Architectures for Different Kinds of Sensory Signal? 73
The Interval Reduction Strategy for Monitoring Cupcake Problems 82
Visual Control of Altitude and Speed in a Flying Agent 91
What Is Cognitive and What Is Not Cognitive? 102
Action-Selection in Hamsterdam: Lessons from Ethology 108
Behavioral Dynamics of Escape and Avoidance: A Neural Network Approach 118
Organizing an Animal's Behavioural Repertoires Using Kohonen Feature Maps 128
Action Selection for Robots in Dynamic Environments through Inter-Behaviour Bidding 138
An Hierarchical Classifier System Implementing a Motivationally Autonomous Animat 144
Using Second Order Neural Connections for Motivation of Behavioral Choices 154
Spatial Learning and Representation in Animats 164
Location Recognition in Rats and Robots 174
Emergent Functionality in Human Infants 179
Connectionist Environment Modelling in a Real Robot 189
A Hybrid Architecture for Learning Continuous Environmental Models in Maze Problems 198
A Place Navigation Algorithm Based on Elementary Computing Procedures and Associative Memories 206
Self-Organizing Topographic Maps and Motor Planning 214
The Effect of Memory Length on the Foraging Behavior of a Lizard 221
The Blind Breeding the Blind: Adaptive Behavior without Looking 228
Memoryless Policies: Theoretical Limitations and Practical Results 238
A Comparison of Q-Learning and Classifier Systems 248
Paying Attention to What's Important: Using Focus of Attention to Improve Unsupervised Learning 256
Learning Efficient Reactive Behavioral Sequences from Basic Reflexes in a Goal-Directed Autonomous Robot 266
The Importance of Leaky Levels for Behavior-Based AI 275
A Topological Neural Map for On-Line Learning: Emergence of Obstacle Avoidance in a Mobile Robot 282
Reinforcement Tuning of Action Synthesis and Selection in a 'Virtual Frog' 291
Achieving Rapid Adaptations in Robots by Means of External Tuition 301
Two-Link-Robot Brachiation with Connectionist Q-Learning 309
An Architecture for Learning to Behave 315
Reinforcement Learning for Homeostatic Endogenous Variables 325
An Architecture for Representing and Learning Behaviors by Trial and Error 334
A Distributed Adaptive Control System for a Quadruped Mobile Robot 344
Reinforcement Learning with Dynamic Covering of State-Action Space: Partitioning Q-Learning 354
The Five Neuron Trick: Using Classical Conditioning to Learn How to Seek Light 364
Adaptation in Dynamic Environments through a Minimal Probability of Exploration 371
Integrating Reactive, Sequential, and Learning Behavior Using Dynamical Neural Networks 382
Seeing the Light: Artificial Evolution, Real Vision 392
Evolution of Corridor Following Behavior in a Noisy World 402
Protean Behavior in Dynamic Games: Arguments for the Co-Evolution of Pursuit-Evasion Tactics 411
Automatic Creation of an Autonomous Agent: Genetic Evolution of a Neural-Network Driven Robot 421
The Effect of Parasitism on the Evolution of a Communication Protocol in an Artificial Life Simulation 431
Towards Robot Cooperation 440
A Case Study in the Behavior-Oriented Design of Autonomous Agents 445
Learning to Behave Socially 453
Signalling and Territorial Aggression: An Investigation by Means of Synthetic Behavioral Ecology 463
Integration of Reactive and Telerobotic Control in Multi-Agent Robotic Systems 473
MINIMEME: Of Life and Death in the Noosphere 479
Learning Coordinated Motions in a Competition for Food between Ant Colonies 487
Emergent Colonization and Graph Partitioning 494
Diversity and Adaptation in Populations of Clustering Ants 501
Author Index 509
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