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VWN Product Reviews: From Animals to Animats: Issue 3: Proceedings of SAB'94

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Animals to Animats is a conference. It is held every two years, at various locations around the world, and brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and many other related fields, seeking to bind the disciplines together, and take animal cognition from the natural world, recreating it in alife.

The goal of the conferences is to drive understanding and ability to reproduce the behaviours and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments.

In short, starting with natural animal behaviour, transferring that to alife, in order to recreate adaptive, reasoning, and even natural intelligent behaviour of non-humans to artificially created animals and servant agents who can then adapt to changing environments without being explicitly programmed to.

These books each hold the complete set of papers successfully chosen by the conference in that year. As is usual with products of this type, where possible we link to or host the papers presented. If this has been possible, the paper name will be a link.

CONTENTS

THE ANIMAT APPROACH TO ADAPTIVE BEHAVIOR



From SAB90 to SAB94: Four Years of Animat Research

Jean-Arcady Meyer and Agnes Guillot


Mechanism and Process in Animal Behavior: Models of Animals, Animals as Models

Herbert L. Roitblat


Coherent Behavior from Many Adaptive Processes

Rodney A. Brooks


Stability in Adaptation and Learning

Jean-Jacques E. Slotine




PERCEPTION AND MOTOR CONTROL



Modeling the Role of Cerebellum in Prism Adaptation

Michael A. Arbib, Nicolas Schweighofer, and W. T. Thach


Robotic Experiments in Cricket Phonotaxis

Barbara Webb


How to Watch Your Step: Biological Evidence and an Initial Model

Patrick R. Green


On Why Better Robots Make It Harder

Tim Smithers


Insect Vision and Olfaction: Different Neural Architectures for Different
Kinds of Sensory Signal?

D. Osorio, Wayne M. Getz, and Jurgen Rybak


The Interval Reduction Strategy for Monitoring Cupcake Problems

Paul R. Cohen, Marc S. Atktin and Eric A. Hansen


Visual Control of Altitude and Speed in a Flying Agent

Fabrizo Mura and Nicolas Franceschini



ACTION SELECTION AND BEHAVIORAL SEQUENCES



What Is Cognitive and What Is Not Cognitive?

Frederick Toates


Action-Selection in Hamsterdam: Lessons from Ethology

Bruce Blumberg


Behavioral Dynamics of Escape and Avoidance: A Neural Network Approach

Nestor A. Schmajuk


Organizing an Animat's Behavioural Repertoires Using Kohonen Feature Maps

Nigel Ball


Action Selection for Robots in Dynamic Environments through Inter- Behaviour
Bidding

Michael K. Sahota




MOTIVATION AND EMOTION



An Hierarchical Classifier System Implementing a Motivationally Autonomous
Animat

Jean-Yves Donnart and Jean-Arcady Meyer


Using Second Order Neural Connections for Motivation of Behavioral Choices

Gregory M. Werner




INTERNAL WORLD MODELS AND COGNITIVE PROCESSES



Spatial Learning and Representation in Animats

Tony J. Prescott


Location Recognition in Rats and Robots

William D. Smart and John Hallam


Emergent Functionality in Human Infants

Julie C. Rutkowska


Connectionist Environment Modelling in a Real Robot

William Chesters and Gillian Hayes


A Hybrid Architecture for Learning Continuous Environmental Models in Maze
Problems

A. G. Pipe, T. C. Fogarty, and A. Winfield


A Place Navigation Algorithm Based on Elementary Computing Procedures and
Associative Memories

Simon Benhamou, Pierre Bovet, and Bruno Poucet


Self-Organizing Topographic Maps and Motor Planning

Pietro Morasso and Vittorio Sanguineti


The Effect of Memory Length on the Foraging Behavior of a Lizard

Sharoni Shafir and Jonathan Roughgarden




CHARACTERIZATION OF ENVIRONMENTS



The Blind Breeding the Blind: Adaptive Behavior without Looking

Peter M. Todd, Stewart W. Wilson, Anil B. Somayaji, and Holly A. Yanco


Memoryless Policies: Theoretical Limitations and Practical Results

Michael L. Lithnan




LEARNING



A Comparison of Q-Learning and Classifier Systems

Marco Dorigo and Hugues Bersini


Paying Attention to What's Important. Using Focus of Attention to Improve
Unsupervised Learning

Leonard N. Foner and Pattie Maes


Learning Efficient Reactive Behavioral Sequences from Basic Reflexes in a
Goal-Directed Autonomous Robot

Jose del R. Millan


The Importance of Leaky Levels for Behavior-Based AI

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

Philippe Gaussier and Stephane Zrehen


Reinforcement Tuning of Action Synthesis and Selection in a 'Virtual Frog'

Simon Giszter


Achieving Rapid Adaptations in Robots by Means of External Tuition

Ulrich Nehmzow and Brendan McGonigle


Two-Link-Robot Brachiation with Connectionist Q-Learning

Fuminori Saito and Toshio Fukuda


An Architecture for Learning to Behave

Ashley M. Aitken


Reinforcement Learning for Homeostatic Endogenous Variables

Hugues Bersini


An Architecture for Representing and Learning Behaviors by Trial and Error

Pascal Blanchet


A Distributed Adaptive Control System for a Quadruped Mobile Robot

Bruce L. Digney and M. M. Gupta


Reinforcement Learning with Dynamic Covering of State-Action Space:Partitioning
Q-Learning

Remi Munos and Jocelyn Patinel


The Five Neuron Trick: Using Classical Conditioning to Learn How to Seek Light

Tom Scutt


Adaptation in Dynamic Environments through a Minimal Probability of Exploration

Gilles Venturini



EVOLUTION


Integrating Reactive, Sequential, and Learning Behavior Using Dynamical Neural
Networks

Brian Yamauchi and Randall Beer


Seeing the Light: Artificial Evolution, Real Vlsion

Inman Haruey, Phil Husbands, and Daue Cliff



Evolution of Corridor Following Behavior in a Noisy World

Craig W. Reynolds


Protean Behavior in Dynamic Games: Arguments for the Co-Evolution of Pursuit-Evasion
Tactics

Geoffrey F. Miller and Dave Cliff


Automatic Creation of an Autonomous Agent: Genetic Evolution of a Neural-Network
Driven Robot

Dario Floreano and Francesco Mondada


The Effect of Parasitism on the Evolution of a Communication Protocol in an
Artificial Life Simulation

Phil Robbins




COLLECTIVE BEHAVIOR



Towards Robot Cooperation

David McFarland


A Case Study in the Behavior-Oriented Design of Autonomous Agents

Luc Steels


Learning to Behave Socially

Maja J. Mataric


Signalling and Territorial Agression: An Investigation by Means of Synthetic
Behavioral Ecology

Peter de Bourcier and Michael Wheeler


Integration of Reactive and Telerobotic Control in Multi-Agent Robotic Systems

Ronald C. Arkin and Khaled S. Ali


MINIMEME: Of Life and Death in the Noosphere

Stephane Bura


Learning Coordinated Motions in a Competition for Food between Ant Colonies

Masao Kubo and Yukinori Kakazu



APPLIED ADAPTIVE BEHAVIOR



Emergent Colonization and Graph Partitioning

Pascale Kuntz and Dominique Snyers


Diversity and Adaptation in Populations of Clustering Ants

Erik D. Lumer and Baldo Faieta

 

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