| | Preface |
| I | | The Animat Approach to Adaptive Behavior |
| 1 | | From SAB94 to SAB2000: What's New, Animat?
by Agnès Guillot, Jean-Arcady Meyer |
| 2 | | Elements of Viability Theory for Animat Design
by Jean-Pierre Aubin |
| 3 | | On the Role of Morphology and Materials in Adaptive Behavior
by Rolf Pfeifer |
| 4 | | On the Relation among Morphology, Material, and Control in Morpho-Functional Machines
by Fumio Hara, Rolf Pfeifer |
| 5 | | Experience-Dependent Perceptual Categorization in a Behaving Real-World Device
by Jeffrey L. Krichmar, James A. Snook, Gerald M. Edelman, Olaf Sporns |
| 6 | | The Epsilon State Count
by Bram Bakker, Michiel de Jong |
| 7 | | Connecting Brains to Robots: An Artificial Animal for the Study of Learning in Vertebrate Nervous Systems
by Karen M. Fleming, Bernard D. Reger, Vittorio Sanguineti, Simon Alford, Ferdinando A. Mussa-Ivaldi |
| II | | Perception and Motor Control |
| 8 | | Designing Artificial Ears for Animat Echolocation
by Jose M. Carmena, DaeEun Kim, John C. T. Hallam |
| 9 | | Reactive Maze Solving with a Biologically-Inspired Wind Sensor
by Tim Chapman, Adam Hayes, Mark Tilden |
| 10 | | Visual Tracking in Simulated Salamander Locomotion
by Auke Jan Ijspeert, Michael Arbib |
| 11 | | Adaptive Image Stabilization: A Need for Vision-Based Active Robotics Agents
by Francesco Panerai, Giorgio Metta, Guilio Sandini |
| 12 | | Neural Oscillator Networks for Rhythmic Control of Animats
by Artur M. Arsenio |
| 13 | | On "Parts" and "Wholes" of Adaptive Behavior: Functional Modularity and Diachronic Structure in Recurrent Neural Robot Controllers |
| 14 | | Telerobotic Sheepdogs: How Useful is Autonomous Behavior?
by Myra Wilson, Mark Neal |
| 15 | | Generating Interactive Robot Behavior: A Mathematical Approach
by Rainer Menzner, Axel Steinhage, Wolfram Erlhagen |
| III | | Action Selection and Behavior sequence |
| 16 | | Hierarchy and Sequence vs. Full Parallelism in Action Selection
by Joanna Bryson |
| 17 | | An Embodied Model of Action Selection Mechanisms in the Vertebrate Brain
by Fernando Montes Gonzalez, Tony J. Prescott, Kevin Gurney, Mark Humphries, Peter Redgrave |
| 18 | | Learning to Integrate Reactive and Planning Behaviors for Construction
by Gerald Chao, Anand Panagadan, Michael G. Dyer |
| 19 | | The Role of Behavioral Extinction in Animat Action Selection
by Mark Witkowski |
| IV | | Internal World Models for Navigation |
| 20 | | Detecting Novel Features of an Environment Using Habituation
by Stephen Marsland, Ulrich Nehmzow, Jonathan Shapiro |
| 21 | | Extraction and Inversion of Abstract Sensory Flow Representations
by Fredrik Linaker, Lars Niklasson |
| 22 | | Micronavigation
by Maurizio Piaggio, Antonio Sgorbissa, Renato Zaccaria |
| 23 | | Computer Simulation of Long-Range Bird Navigation
by Ulrich Nehmzow, Roswitha Wiltschko |
| 24 | | Neural Network Approach to Path Integration for Homing Navigation
by DaeEun Kim, John C. T. Hallam |
| 25 | | Modeling Rodent Head-direction Cells and Place Cells for Spatial Learning in Bio-mimetic Robotics
by Angelo Arleo, Wulfram Gerstner |
| 26 | | Active Perception and Map Learning for Robot Navigation
by David Filliat, Jean-Arcady Meyer |
| 27 | | A Computational Model of Context Processing
by Christian Balkenius, Jan Morén |
| 28 | | From Navigation to Active Object Recognition
by Sacha Lepreêtre, Philippe Gaussier, Jean-Pierre Cocquerez |
| V | | Learning |
| 29 | | Simulating Classical Conditioning Using a Neuro-Connector Net
by Bridget Hallam |
| 30 | | First Cognitive Capabilities in the Anticipatory Classifier System
by Wolfgang Stolzmann, Martin V. Butz, Joachim Hoffmann, David E. Goldberg |
| 31 | | Obstacle Avoidance for a Distributed Autonomous Swimming Robot by Interaction-Based Learning
by Daisuke Iijima, Wenwei Yu, Hiroshi Yokoi, Yukinori Kakazu |
| 32 | | Evolutionary Design of Learning State Space for Small Airship Control
by Keiko Motoyama, Keiji Suzuki, Masahito Yamamoto, Azuma Ohuchi |
| 33 | | Multi-Agent Reinforcement Learning with Bidding for Segmenting Action Sequences
by Ron Sun, Chad Sessions |
| 34 | | Partitioning in Multi-Agent Reinforcement Learning
by Ron Sun, Tod Peterson |
| 35 | | Adaptive Agents with Reinforcement Learning and Internal Memory
by Pier Luca Lanzi |
| 36 | | Learning in Categorizable Environments
by Josep M. Porta, Enric Celaya |
| 37 | | Imitation: Learning and Communication
by Pierre Andry, Sorin Moga, Philippe Gaussier, Arnaud Revel, Jacqueline Nadel |
| 38 | | Utilising a Cerebellar Model for Mobile Robot Control in a Delayed Sensory Environment
by David Collins, Gordon Wyeth |
| 39 | | Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction Animats: VI-MAXSON
by Frederick L. Crabbe, Michael G. Dyer |
| 40 | | A Computational Model of Emotional Learning in the Amygdala
by Jan Morén, Christian Balkenius |
| VI | | Evolution |
| 41 | | Sexual Preferences: Dimension and Complexity
by Patricio Lerena |
| 42 | | Visual Resolution Evolving to a Trade-Off Curve
by Rens Kortmann, Eric Postma, Jaap van den Herik |
| 43 | | Evolving Visually-Guided Robots Able to Discriminate between Different Landmarks
by Stefano Nolfi, Davide Marocco |
| 44 | | Investigating Morphological Symmetry and Locomotive Efficiency Using Virtual Embodied Evolution
by Josh C. Bongard, Chandana Paul |
| 45 | | Further Experiments in the Evolution of Minimally Cognitive Behavior: From Perceiving Affordances to Selective Attention
by Andrew C. Slocum, Douglas C. Downey, Randall D. Beer |
| 46 | | Homeostatic Adaption to Inversion of the Visual Field and Other Sensorimotor Disruptions
by Ezequiel A. Di Paolo |
| 47 | | Measuring Progress in Coevolutionary Competition
by Pablo Funes, Jordan B. Pollack |
| 48 | | Self-Adaptive Mutation in Classifier System Controllers
by Larry Bull, Jacob Hurst, Andy Tomlinson |
| VII | | Collective Behaviors |
| 49 | | Unorthodox Optimal Foraging Theory
by Anil K. Seth |
| 50 | | Talk Is Cheap: Evolved Strategies for Communication and Action in Asymmetrical Contests
by Jason Noble |
| 51 | | Go Ahead, Make My Day: Robot Conflict Resolution by Aggressive Competition
by Richard T. Vaughan, Kasper Stoy, Gaurav S. Sukhatme, Maja J. Mataric |
| 52 | | Using Information Theory Approach to Study the Communication System and Numerical Competence in Ants
by Zhanna Reznikova, Boris Ryabko |
| 53 | | Effective Learning Approach for Planning and Scheduling Multi-Agent Domain
by Sachiyo Arai, Katia Sycara |
| VIII | | Applied Adaptive Behavior |
| 54 | | Issues of Robot-Human Interaction Dynamics in the Rehabilitation of Children with Autism
by Kerstin Dautenhahn, Iain Werry |
| 55 | | An Evolutionary Approach to Guiding Students in an Educational Game
by Elizabeth Sklar, Jordan Pollack |
| | Author Index |