author : Stewart W. Wilson

Contents

• Jean-Arcady Meyer, Agnes Guillot.

Simulation of Adaptive Behavior in Animats: Review and Prospect

• Stewart W. Wilson.

The Animat Path to AI

• David McFarland.

What It Means for Robot Behaviour to be Adaptive

• Dave Cliff.

Computational Neuroethology: A Provisional Manifesto

• Harold C. Morris.

On the Feasibility of Computational Artificial Life--A Reply to Critics

• Alexandre Parodi, Pierre Bonelli.

The Animat and the Physician

• Renaud Dumeur.

Extended Classifiers for Simulation of Adaptive Behavior

• Herbert L. Roitblat, Patrick W. B. Moore, Paul E. Nachtigall, R. H. Penner.

Biomimetic Sonar Processing: From Dolphin Echolocation to Artificial Neural Networks

• DeLiang Wang, Michael A. Arbib.

Hierarchical Dishabituation of Visual Discrimination in Toads

• Dave Cliff.

The Computational Hoverfly: A Study in Computational Neuroethology

• Philip Teitelbaum, Vivien C. Pellis, Sergio M. Pellis.

Can Allied Reflexes Promote the Integration of a Robot's Behavior?

• Holk Cruse.

Coordination of Leg Movement in Walking Animals

• Gerhard Manteuffel.

A Biological Visuo-Motor System: How Dissimilar Maps Interact to Produce Behavior

• Stephen T. Barnard.

Biological and Computational Stereo Vision

• Simon Benhamou, Pierre Bovet.

Modeling and Simulation of Animals' Movements

• Michael A. Arbib, Alberto Cobas.

Schemas for Prey-Catching in Frog and Toad

• Ulrich Nehmzow, Tim Smithers.

Mapbuilding Using Self-Organising Networks in "Really Useful Robots"

• Marc Jamon.

The Contribution of Quantitative Models to The Long Distance Orientation Problems

• Maja J. Mataric.

Navigating with a Rat Brain: A Neurobiologically-Inspired Model for Robot Spatial Representation

• W. K. Yeap, C. C. Handley.

Four Important Issues in Cognitive Mapping

• Mitch R. Harris.

Attracting Similar Shapes Towards Each Other

• Frederick Toates, Per Jensen.

Ethological and Psychological Models of Motivation--Towards a Synthesis

• Michel Cabanac.

Pleasure: The Answer to Conflicting Motivations

• J. R. P. Halperin.

Machine Motivation

• Jurgen Schmidhuber.

A Possibility for Implementing Curiosity and Boredom in Model- Building Neural Controllers

• Lashon B. Booker.

Instinct as an Inductive Bias for Learning Behavioral Sequences

• Pattie Maes.

A Bottom-Up Mechanism for Behavior Selection in an Artificial Creature

• Randall D. Beer, Hillel J. Chiel.

The Neural Basis of Behavioral Choice in an Artificial Insect

• Martin A. Snaith, Owen E. Holland.

An Investigation of Two Mediation Strategies Suitable for Behavioural Control in Animals and Animats

• Toby Tyrrell, John E. W. Mayhew.

Computer Simulation of an Animal Environment

• Patrick W. Colgan, T. Lynne Jamieson, Janice E. Frame, J. Terry Smith.

Ontogeny of Preferences in Guppies (Poecilia reticulata) Exposed to Food and Conspecifics

• James M. Williams, P. J. B. Slater.

Simulation Studies of Song Learning in Birds

• Richard S. Sutton.

Reinforcement Learning Architectures for Animats

• Long-Ji Lin.

Self-Improving Reactive Agents: Case Studies of Reinforcement Learning Frameworks

• Peter M. Todd, Geoffrey F. Miller.

Exploring Adaptive Agency II: Simulating the Evolution of Associative Learning

• Rick L. Riolo.

Lookahead Planning and Latent Learning in a Classifier System

• David Pierce, Benjamin Kuipers.

Learning Hill-Climbing Functions as a Strategy for Generating Behaviors in a Mobile Robot

• David R. Shanks.

Some Parallels Between Associative Learning and Object Classification

• Guy Theraulaz, Simon Goss, Jacques Gervet, Jean-Louis Deneubourg.

Task Differentation in Polistes Wasp Colonies: A Model for Self-Organizing Groups of Robots

• Jean-Louis Deneubourg, Simon Goss, Nigel R. Franks, A. Sendova-Franks, C. Detrain, L. Chretien.

Dynamics of Collective Sorting: Robot-Like Ants and Ant-Like Robots

• John R. Koza.

Evolution and Co-Evolution of Computer Programs to Control Independently-Acting Agents

• Cynthia Kurtz.

The Evolution of Information Gathering: Operational Constraints

• Robert J. Collins, David R. Jefferson.

Representations for Artificial Organisms

• Federico Cecconi, Domenico Parisi.

Evolving Organisms That Can Reach for Objects

• Inman Harvey.

The Artificial Evolution of Behaviour

• Fabio De Luigi, Vittorio Maniezzo.

The Rise of Interaction: Intrinsic Simulation Modeling of the Onset of Interacting Behaviour

• Jan Paredis.

The Evolution of Behavior: Some Experiments

• Dan Wood.

A Von Neumann Approach to a Genotype Explession in a Neural Animat

• Rodney A. Brooks.

Challenges for Complete Creature Architecture

• Herbert L. Roitblat.

Cognitive Action Theory as a Control Architecture

• Luc Steels.

Towards a Theory of Emergent Functionality

• David L. Waltz.

Eight Principles for Building an Intelligent Robot

• Uwe Schnepf.

Robot Ethology: A Proposal for the Research into Intelligent Autonomous System

• Liane M. Gabora, Patrick W. Colgan.

A Model of the Mechanisms Underlying Exploratory Behaviour

• Marijke Vonk, Felix Putters, Berend-Jan Velthuis.

Causal Analysis of an Adaptive System: Sex-Ratio Decisions as Observed in a Parasitic Wasp and Simulated by a Network Model

• Paulien Hogeweg, B. Hesper.

Evolution as Pattern Processing: TODO as Substrate for Evolution

• Alasdair I. Houston.

Matching, Maximizing and Melioration as Alternative Descriptions of Behaviour

• Yuval Davidor.

An Adaptation Anomoly of a Genetic Algorithm

• George Kiss.

Autonomous Agents, AI and Chaos Theory

• Brendan McGonigle.

Incrementing Intelligent Systems by Design

• Mitchel Resnick.

Animal Simulations with *Logo: Massive Parallelism for the Masses

• Jim Donnett, Tim Smithers.

Lego Vehicles: A Technology for Studying Intelligent Systems

Contents

• Pattie Maes.

Behavior-Based Artificial Intelligence

• Peter M. Todd, Stewart W. Wilson.

Environment Structure and Adaptive Behavior From the Ground Up

• Geoffrey F. Miller, Peter M. Todd.

Evolutionary Wanderlust: Sexual Selection with Directional Mate Preferences

• Rolf Pfeifer, Paul F. M. J. Verschure.

Designing Efficiently Navigating Non-Goal-Directed Robots

• Michael A. Arbib, Hyun Bong Lee.

Anuran Visuomotor Coordination for Detour Behavior: From Retina to Motor Schemas

• Holk Cruse, Uwe Muller-Wilm, Jeffrey Dean.

Artificial Neural Nets for Controlling a 6-Legged Walking System

• Sunil Cherian, Wade Troxell.

A Neural Network Based Behavior Hierarchy for Locomotion Control

• John C. Gallagher, Randall D. Beer.

Qualitative Dynamical Analysis of Evolved Locomotion Controllers

• Richard A. Altes.

Neuronal Parameter Maps and Signal Processing

• Herbert L. Roitblat, Patrick W. B. Moore, David A. Helweg, Paul E. Nachtigall.

Representation and Processing of Acoustic Information in a Biomimetic Neural Network

• William R. Uttal, Thomas Shepherd, Sriram Dayanand, Robb Lovell.

An Integrated Computational Model of a Perceptual-Motor System

• R. Zapata, P. Lepinay, C. Novales, P. Deplanques.

Reactive Behaviors of Fast Mobile Robots in Unstructured Environments: Sensor-Based Control and Neural Networks

• Allen Brookes.

The Adaptive Nature of 3D Perception

• Ralph Hartley.

Propulsion and Guidance in a Simulation of the Worm C. Elegans

• Ian Horswill.

A Simple, Cheap, and Robust Visual Navigation System

• Toby Tyrrell.

The Use of Hierarchies for Action Selection

• Mark Ring.

Two Methods for Hierarchy Learning in Reinforcement Environments

• Liane M. Gabora.

Should I Stay or Should I Go: Coordinating Biological Needs with Continuously-updated Assessments of the Environment

• Leemon C. Baird III, A. Harry Klopf.

Extensions of the Associative Control Process (ACP) Network: Hierarchies and Provable Optimality

• Simon Giszter.

Behavior Networks and Force Fields for Simulating Spinal Reflex Behaviors of the Frog

• Emmanuel Mazer, Juan Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessiere.

The Ariadne's Clew Algorithm

• Feliz Ribeiro, Jean-Paul Barthes, Eugenio Oliveira.

Dynamic Selection of Action Sequences

• Jurgen Schmidhuber, Reiner Wahnsiedler.

Planning Simple Trajectories Using Neural Subgoal Generators

• J. E. R. Staddon.

A Note on Rate-Sensitive Habituation

• Paul F. M. J. Verschure, Rolf Pfeifer.

Categorization, Representations, and The Dynamics of System-Environment Interaction: A Case Study in Autonomous Systems

• David Kortenkamp, Eric Chown.

Directional Spreading Activation Network for Mobile Robot Navigation

• Saburo Tsuff, Shigang Li.

Memorizing and Representing Route Scenes

• Tony J. Prescott, John E. W. Mayhew.

Building Long-Range Cognitive Maps Using Local Landmarks

• Nestor A. Schmajuk, H. T. Blair.

Dynamics of Spatial Navigation: An Adaptive Neural Network

• A. Harry Klopf, James S. Morgan, Scott E. Weaver.

Modeling Nervous System Function with a Hierarchical Network of Control Systems That Learn

• Michael L. Littman.

An Optimization-Based Categorization of Reinforcement Learning Environments

• Long-Ji Lin, Tom M. Mitchell.

Reinforcement Learning with Hidden States

• Jing Peng, Ronald J. Williams.

Efficient Learning and Planning within the Dyna Framework

• Ulrich Nehmzow, Tim Smithers, Brendan McGonigle.

Increasing Behavioural Repertoire in a Mobile Robot

• Thomas Ulrich Vogel.

Learning Biped Robot Obstacle Crossing

• Marco Colombetti, Marco Dorigo.

Learning to Control an Autonomous Robot by Distributed Genetic Algorithms

• Lawrence Davis, Stewart W. Wilson, David Orvosh.

Temporary Memory for Examples Can Speed Learning in a Simple Adaptive System

• Alexander Linden, Frank Weber.

Implementing Inner Drive Through Competence Reflection

• Bruce E. Rosen, James M. Goodwin.

Dynamic Flight Control with Adaptive Coarse Coding

• Josh Tenenberg, Jonas Karlsson, Steven Whitehead.

Learning via Task Decomposition

• Federico Cecconi, Domenico Parisi.

Neural Networks with Motivational Units

• Hitoshi Iba, Hugo de Garis, Tetsuya Higuchi.

Evolutionary Learning of Predatory Behaviors Based on Structured Classifiers

• Inman Harvey, Philip Husbands, Dave Cliff.

Issues in Evolutionary Robotics

• Dave Cliff, Philip Husbands, Inman Harvey.

Evolving Visually Guided Robots

• Craig W. Reynolds.

An Evolved, Vision-Based Behavioral Model of Coordinated Group Motion

• Gregory M. Werner, Michael G. Dyer.

Evolution of Herding Behavior in Artificial Animals

• Dwight Deugo, Franz Oppacher.

An Evolutionary Approach to Cognition

• Dario Floreano.

Emergence of Nest-Based Foraging Strategies in Ecosystems of Neural Networks

• Tetsuya Higuchi, Tatsuya Niwa, Toshio Tanaka, Hitoshi Iba, Hugo de Garis, Tatsumi Furuya.

Evolving Hardware with Genetic Learning: A First Step Towards Building a Darwin Machine

• Luis R. Lopez, Robert E. Smith.

Evolving Artificial Insect Brains for Artificial Compound Eye Robotics

• Maja J. Mataric.

Designing Emergent Behaviors: From Local Interactions to Collective Intelligence

• Lynne E. Parker.

Adaptive Action Selection for Cooperative Agent Teams

• Alexis Drogoul, Jacques Ferber.

From Tom Thumb to the Dockers: Some Experiments with Foraging Robots

• C. Ronald Kube, Hong Zhang.

Collective Robotic Intelligence

• Chisato Numaoka, Akikazu Takeuchi.

Collective Choice of Strategic Type

• Holly Yanco, Lynn Andrea Stein.

An Adaptive Communication Protocol for Cooperating Mobile Robots

• Ronald C. Arkin, J. David Hobbs.

Dimensions of Communication and Social Organization in Multi-Agent Robotic Systems

• Andrea Beltratti, Sergio Margarita.

Evolution of Trading Strategies Among Heterogeneous Artificial Economic Agents

• Gerhard Weiss.

Action Selection and Learning in Multi-Agent Environments

• John H. Andreae, Shaun W. Ryan, Mark L. Tomlinson.

Structure from Associative Learning (summary)

• Christian Balkenius.

The Roots of Motivation (summary)

• Gregory D. Benson, Armand Prieditis.

Learning Continuous-Space Navigation Heuristics in Real Time (summary)

• Eric Chown.

The Adaptive Power of Affect: Learning in the SESAME Architecture (summary)

• Luis Correia, A. Steiger-Garcao.

Model of a Behaviour Based Control Architecture (summary)

• Bridget Hallam, Gillian Hayes.

Comparing Robot and Animal Behavior

(summary)

• Owen E. Holland, Martin A. Snaith.

An Embodied Neurally-Based Algorithm for Optimal Action Selection (summary)

• Oded Maler.

Why Should We Build Artificial Worms and How? (summary)

• M. A. Rodrigues, M. H. Lee.

Creative Perception (summary)

• Isao Shimoyama, Toshio Watanabe, Yoshihiko Kuwana, Hirofumi Miura.

Collective Behavior of Silicon Microrobots (summary)

• Micah S. Siegel.

An Analog VLSI Model of Central Pattern Generation in the Medicinal Leech (summary)

Contents

• Matthew Russell, John A. Clark, Susan Stepney.

Using Ants to attack a classical cipher. 2003

full paper

Contents

• John A. Clark, Jeremy L. Jacob, Susan Stepney.

Secret Agents Leave Big Footprints: how to plant a crytographic trapdoor, and why you might not get away with it. 2003

full paper