| | Preface |
| | The Animat Approach to Adaptive Behavior |
| 1 | | Behavior-Based Artificial Intelligence
by Pattie Maes |
| 2 | | Environment Structure and Adaptive Behavior from the Ground
Up
by Peter M. Todd and Stewart W. Wilson |
| 3 | | Evolutionary Wanderlust: Sexual Selection with Directional
Mate Preferences
by Geoffrey F. Miller and Peter M. Todd |
| 4 | | Designing Efficiently Navigating Non-Goal-Directed
Robots
by Rolf Pfeifer and Paul F. M. J. Verschure |
| | Perception and Motor Control |
| 5 | | Anuran Visuomotor Coordination for Detour Behavior: From
Retina to Motor Schemas
by Michael A. Arbib and Hyun Bang Lee |
| 6 | | Artificial Neural Nets for Controlling a 6-Legged Walking
System
by Holk Cruise, Uwe Müller-Wilm and Jeffrey Dean |
| 7 | | A Neural Network Based Behavior Hierarchy for Locomotion
Control
by Sunil Cherian and Wade O. Troxell |
| 8 | | A Qualitative Dynamical Analysis of Evolved Locomotion
Controllers
by John C. Gallagher and Randall D. Beer |
| 9 | | Neuronal Parameter Maps and Signal Processing
by Richard A. Altes |
| 10 | | Representation and Processing of Acoustic Information in a
Biomimetic Neural Network
by Herbert L. Roitblat, Patrick W. B. Moore, David A. Helweg
and Paul E. Nachtigall |
| 11 | | An Integrated Computational Model of a Perceptual-Motor
System
by William R. Uttal, Thomas Shepherd, Sriram Dayanand and
Robb Lovell |
| 12 | | Reactive Behaviors of Fast Mobile Robots in Unstructured
Environments: Sensor-based Control and Neural Networks
by R. Zapata, P. Lépinay, C. Novales and
P. Deplanques |
| 13 | | The Adaptive Nature of 3D Perception
by Allen Brookes |
| 14 | | Propulsion and Guidance in a Simulation of the Worm
C. Elegans
by Ralph Hartley |
| 15 | | A Simple, Cheap, and Robust Visual Navigation
System
by Ian Horswill |
| | Action Selection and Behavioral Sequences |
| 16 | | The Use of Hierarchies for Action Selection
by Toby Tyrrell |
| 17 | | Two Methods for Hierarchy Learning in Reinforcement
Environments
by Mark Ring |
| 18 | | Should I Stay or Should I Go: Coordinating Biological Needs
with Continuously-updated Assessments of the Environment
by Liane M. Gabora |
| 19 | | Extensions of the Associative Control Process (ACP)
Network: Hierarchies and Provable Optimality
by Leemon C. Baird III and A. Harry Klopf |
| 20 | | Behavior Networks and Force Fields for Simulating Spinal
Reflex Behaviors of the Frog
by Simon Giszter |
| 21 | | The Ariadne's Clew Algorithm
by Emmanuel Mazer, Juan Maneul Ahuactzin, El-Ghazali Talbi
and Pierre Bessiere |
| 22 | | Dynamic Selection of Action Sequences
by Feliz Ribeiro, Jean-Paul Barthès and
Eugéenio Oliveira |
| 23 | | Planning Simple Trajectories Using Neural Subgoal
Generators
by Jürgen Schmidhuber and Reiner Wahnsiedler |
| 24 | | A Note on Rate-Sensitive Habituation
by J. E. R. Staddon |
| | Cognitive Maps and Internal World Models |
| 25 | | Categorization, Representations, and the Dynamics of
System-Environment Interaction: A Case Study in Autonomous
Systems
by Paul F. M. J. Verschure and Rolf Pfeifer |
| 26 | | A Directional Spreading Activation Network for Mobile Robot
Navigation
by David Kortenkamp and Eric Chown |
| 27 | | Memorizing and Representing Route Scenes
by Saburo Tsuji and Shigang Li |
| 28 | | Building Long-range Cognitive Maps using Local
Landmarks
by Tony J. Prescott and John E. W. Mayhew |
| 29 | | Dynamics of Spatial Navigation: An Adaptive Neural
Network
by Nestor A. Schmajuk and H. T. Blair |
| | Learning |
| 30 | | Modeling Nervous System Function with a Hierarchical
Network of Control Systems that Learn
by A. Harry Klopf, James S. Morgan and Scott E. Weaver |
| 31 | | An Optimization-based Categorization of Reinforcement
Learning Environments
by Michael L. Littman |
| 32 | | Reinforcement Learning with Hidden States
by Long-Ji Lin and Tom M. Mitchell |
| 33 | | Efficient Learning and Planning within the Dyna
Framework
by Jing Peng and Ronald J. Williams |
| 34 | | Increasing Behavioural Repertoire in a Mobile
Robot
by Ulrich Nehmzow, Tim Smithers and Brendand McGonigle |
| 35 | | Learning Biped Robot Obstacle Crossing
by Thomas Ulrich Vogel |
| 36 | | Learning to Control an Autonomous Robot by Distributed
Genetic Algorithms
by Marco Colombetti and Marco Dorigo |
| 37 | | Temporary Memory for Examples Can Speed Learning in a
Simple Adaptive System
by Lawrence Davis, Stewart Wilson and David Orvosh |
| 38 | | Implementing Inner Drive through Competence
Reflection
by Alexander Linden and Frank Weber |
| 39 | | Dynamic Flight Control with Adaptive Coarse Coding
by Bruce E. Rosen and James M. Goodwin |
| 40 | | Learning via Task Decomposition
by Josh Tenenberg, Jonas Karlsson and Steven Whitehead |
| | Evolution |
| 41 | | Neural Networks with Motivational Units
by Federico Cecconi and Domenico Parisi |
| 42 | | Evolutionary Learning of Predatory Behaviors Based on
Structured Classifiers
by Hitoshi Iba, Hugo de Garis and Tetsuya Higuchi |
| 43 | | Issues in Evolutionary Robotics
by Inman Harvey, Philip Husbands and Dave Cliff |
| 44 | | Evolving Visually Guided Robots
by Dave Cliff, Philip Husbands and Inman Harvey |
| 45 | | An Evolved, Vision-Based Behavioral Model of Coordinated
Group Motion
by Craig W. Reynolds |
| 46 | | Evolution of Herding Behavior in Artificial Animals
by Gregory M. Werner and Michael G. Dyer |
| 47 | | An Evolutionary Approach to Cognition
by Dwight Deugo and Franz Oppacher |
| 48 | | Emergence of Nest-Based Foraging Strategies in Ecosystems
of Neural Networks
by Dario Floreano |
| 49 | | Evolving Hardware with Genetic Learning: A First Step
Towards Building a Darwin Machine
by Tetsuya Higuchi, Tatsuya Niwa, Tosho Tanaka, Hitoshi Iba,
Hugo de Garis and Tatsumi Furuya |
| 50 | | Evolving Artificial Insect Brains for Artificial Compound
Eye Robotics
by Luis R. Lopez and Robert E. Smith |
| | Collective Behavior |
| 51 | | Designing Emergent Behaviors: From Local Interactions to
Collective Intelligence
by Maja J. Mataric |
| 52 | | Adaptive Action Selection for Cooperative Agent
Teams
by Lynne E. Parker |
| 53 | | From Tom Thumb to the Dockers: Some Experiments with
Foraging Robots
by Alexis Drogoul and Jacques Ferber |
| 54 | | Collective Robotic Intelligence
by C. Ronald Kube and Hong Zhang |
| 55 | | Collective Choice of Strategic Type
by Chisato Numaoka and Akikazu Takeuchi |
| 56 | | An Adaptive Communication Protocol for Cooperating Mobile
Robots
by Holy Yanco and Lynn Andrea Stein |
| 57 | | Dimensions of Communication and Social Organization in
Multi-agent Robotic Systems
by Ronald C. Arkin and J. David Hobbs |
| 58 | | Evolution of Trading Strategies Among Heterogeneous
Artificial Economic Agents
by Andrea Beltratti and Sergio Margarita |
| 59 | | Action Selection and Learning in Multi-Agent
Environments
by Gerhard Weiss |
| | One-Page Summaries |
| 60 | | Structure from Associative Learning
by John H. Andreae, Shuan W. Ryan and Mark L. Tomlinson |
| 61 | | The Roots of Motivation
by Christian Balkenius |
| 62 | | Learning Continuous-Space Navigation Heuristics in Real
Time
by Gregory D. Benson and Armand Prieditis |
| 63 | | The Adaptive Power of Affect: Learning in the SESAME
Architecture
by Eric Chown |
| 64 | | Model of a Behaviour Based Control Architecture
by Luís Correia and A. Steiger-Garção |
| 65 | | Comparing Robot and Animal Behavior
by Bridget Hallam and Gillian Hayes |
| 66 | | An Embodied Neurally-based Algorithm for Optimal Action
Selection
by Owen Holland and Martin Smith |
| 67 | | Why Should We Build Artificial Worms and How?
by Oded Maler |
| 68 | | Creative Perception
by M. A. Rodrigues and M. H. Lee |
| 69 | | Collective Behavior of Silicon Microrobots
by Isao Shimoyama, Toshio Watanabe, Yoshihiko Kuwana and
Hirofumi Miura |
| 70 | | An Analog VLSI Model of Central Pattern Generation in the
Medicinal Leech
by Micah S. Siegel |
| | Author Index |