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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
