From Animals To Animats 3: SAB'94

^ ISAB Home
> SAB '08
> New Login
> Log In
> Journal
^ Conferences
x Members
x News
> Joining ISAB
> ISAB Officers
> Contact ISAB
LOGO

From Animals to Animats 3

Proceedings of the Third International Conference on Simulation of Adaptive Behavior

August 8-12, 1994, Brighton, England

edited 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.

  • 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
608 pp.
ISBN 0-262-53122-4



LOGO

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


18:18 GMT; 22/03/08
Comments or Questions? Contact Us..                 Copyright © 2008, ISAB.   All rights reserved.