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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 SAB94 to SAB2000: What's New, Animat?
Agn?s Guillot, Jean-Arcady Meyer

Elements of Viability Theory for Animat Design
Jean-Pierre Aubin

On the Role of Morphology and Materials in Adaptive Behavior
Rolf Pfeifer

On the Relation among Morphology, Material, and Control in Morpho-Functional Machines
Fumio Hara, Rolf Pfeifer

Experience-Dependent Perceptual Categorization in a Behaving Real-World Device
Jeffrey L. Krichmar, James A. Snook, Gerald M. Edelman, Olaf Sporns

The Epsilon State Count
Bram Bakker, Michiel de Jong

Connecting Brains to Robots: An Artificial Animal for the Study of Learning in Vertebrate Nervous Systems
Karen M. Fleming, Bernard D. Reger, Vittorio Sanguineti, Simon Alford, Ferdinando A. Mussa-Ivaldi

PERCEPTION AND MOTOR CONTROL

Designing Artificial Ears for Animat Echolocation
Jose M. Carmena, DaeEun Kim, John C. T. Hallam

Reactive Maze Solving with a Biologically-Inspired Wind Sensor
Tim Chapman, Adam Hayes, Mark Tilden

Visual Tracking in Simulated Salamander Locomotion
Auke Jan Ijspeert, Michael Arbib

Adaptive Image Stabilization: A Need for Vision-Based Active Robotics Agents
Francesco Panerai, Giorgio Metta, Guilio Sandini

Neural Oscillator Networks for Rhythmic Control of Animats
Artur M. Arsenio

On "Parts" and "Wholes" of Adaptive Behavior: Functional Modularity and Diachronic Structure in Recurrent Neural Robot Controllers

Telerobotic Sheepdogs: How Useful is Autonomous Behavior?
Myra Wilson, Mark Neal

Generating Interactive Robot Behavior: A Mathematical Approach
Rainer Menzner, Axel Steinhage, Wolfram Erlhagen

ACTION SELECTION AND BEHAVIOR SEQUENCE

Hierarchy and Sequence vs. Full Parallelism in Action Selection
Joanna Bryson

An Embodied Model of Action Selection Mechanisms in the Vertebrate Brain
Fernando Montes Gonzalez, Tony J. Prescott, Kevin Gurney, Mark Humphries, Peter Redgrave

Learning to Integrate Reactive and Planning Behaviors for Construction
Gerald Chao, Anand Panagadan, Michael G. Dyer

The Role of Behavioral Extinction in Animat Action Selection
Mark Witkowski

INTERNAL WORLD MODELS FOR NAVIGATION

Detecting Novel Features of an Environment Using Habituation
Stephen Marsland, Ulrich Nehmzow, Jonathan Shapiro

Extraction and Inversion of Abstract Sensory Flow Representations
Fredrik Linaker, Lars Niklasson

Micronavigation
Maurizio Piaggio, Antonio Sgorbissa, Renato Zaccaria

Computer Simulation of Long-Range Bird Navigation
Ulrich Nehmzow, Roswitha Wiltschko

Neural Network Approach to Path Integration for Homing Navigation
DaeEun Kim, John C. T. Hallam

Modeling Rodent Head-direction Cells and Place Cells for Spatial Learning in Bio-mimetic Robotics
Angelo Arleo, Wulfram Gerstner

Active Perception and Map Learning for Robot Navigation
David Filliat, Jean-Arcady Meyer

A Computational Model of Context Processing
Christian Balkenius, Jan Mor?n

From Navigation to Active Object Recognition
Sacha Lepre?tre, Philippe Gaussier, Jean-Pierre Cocquerez

LEARNING

Simulating Classical Conditioning Using a Neuro-Connector Net
Bridget Hallam

First Cognitive Capabilities in the Anticipatory Classifier System
Wolfgang Stolzmann, Martin V. Butz, Joachim Hoffmann, David E. Goldberg

Obstacle Avoidance for a Distributed Autonomous Swimming Robot Interaction-Based Learning
Daisuke Iijima, Wenwei Yu, Hiroshi Yokoi, Yukinori Kakazu

Evolutionary Design of Learning State Space for Small Airship Control
Keiko Motoyama, Keiji Suzuki, Masahito Yamamoto, Azuma Ohuchi

Multi-Agent Reinforcement Learning with Bidding for Segmenting Action Sequences
Ron Sun, Chad Sessions

Partitioning in Multi-Agent Reinforcement Learning
Ron Sun, Tod Peterson

Adaptive Agents with Reinforcement Learning and Internal Memory
Pier Luca Lanzi

Learning in Categorizable Environments
Josep M. Porta, Enric Celaya

Imitation: Learning and Communication
Pierre Andry, Sorin Moga, Philippe Gaussier, Arnaud Revel, Jacqueline Nadel

Utilising a Cerebellar Model for Mobile Robot Control in a Delayed Sensory Environment
David Collins, Gordon Wyeth

Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction Animats: VI-MAXSON
Frederick L. Crabbe, Michael G. Dyer

A Computational Model of Emotional Learning in the Amygdala
Jan Mor?n, Christian Balkenius

EVOLUTION

Sexual Preferences: Dimension and Complexity
Patricio Lerena

Visual Resolution Evolving to a Trade-Off Curve
Rens Kortmann, Eric Postma, Jaap van den Herik

Evolving Visually-Guided Robots Able to Discriminate between Different Landmarks
Stefano Nolfi, Davide Marocco

Investigating Morphological Symmetry and Locomotive Efficiency Using Virtual Embodied Evolution
Josh C. Bongard, Chandana Paul

Further Experiments in the Evolution of Minimally Cognitive Behavior: From Perceiving Affordances to Selective Attention
Andrew C. Slocum, Douglas C. Downey, Randall D. Beer

Homeostatic Adaption to Inversion of the Visual Field and Other Sensorimotor Disruptions
Ezequiel A. Di Paolo

Measuring Progress in Coevolutionary Competition
Pablo Funes, Jordan B. Pollack

Self-Adaptive Mutation in Classifier System Controllers
Larry Bull, Jacob Hurst, Andy Tomlinson

COLLECTIVE BEHAVIORS

Unorthodox Optimal Foraging Theory
Anil K. Seth

Talk Is Cheap: Evolved Strategies for Communication and Action in Asymmetrical Contests
Jason Noble

Go Ahead, Make My Day: Robot Conflict Resolution Aggressive Competition
Richard T. Vaughan, Kasper Stoy, Gaurav S. Sukhatme, Maja J. Mataric

Using Information Theory Approach to Study the Communication System and Numerical Competence in Ants
Zhanna Reznikova, Boris Ryabko

Effective Learning Approach for Planning and Scheduling Multi-Agent Domain
Sachiyo Arai, Katia Sycara

APPLIED ADAPTIVE BEHAVIOR

Issues of Robot-Human Interaction Dynamics in the Rehabilitation of Children with Autism
Kerstin Dautenhahn, Iain Werry

An Evolutionary Approach to Guiding Students in an Educational Game
Elizabeth Sklar, Jordan Pollack

 

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