From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior

Overview

The Animals to Animats Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics,engineering, and related fields to further understanding of the behaviors and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments. The work presented focuses on well-defined models?robotic, computer-simulation, and mathematical?that help to characterize and compare various organizational principles or...

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Overview

The Animals to Animats Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics,engineering, and related fields to further understanding of the behaviors and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments. The work presented focuses on well-defined models—robotic, computer-simulation, and mathematical—that help to characterize and compare various organizational principles or architectures underlying adaptive behavior in both natural animals and animats.

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Product Details

  • ISBN-13: 9780262632003
  • Publisher: MIT Press
  • Publication date: 8/14/2000
  • Series: Complex Adaptive Systems
  • Pages: 500
  • Product dimensions: 8.50 (w) x 11.00 (h) x 1.10 (d)

Meet the Author

Jean-Arcady Meyer is Emeritus Research Director at CNRS (Centre National de la RechercheScientifique) and a researcher at the Institute of Intelligent Systems and Robotics, UniversityPierre and Marie Curie, Paris.

Dario Floreano is Director of the Laboratory of Intelligent Systems at the Swiss FederalInstitute of Technology in Lausanne (EPFL). He is the coauthor of Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (MIT Press,2000).

Herbert L. Roitblat is Professor of Psychology at the University of Hawaii at Manoa.

Stewart W. Wilson is a scientist at The Rowland Institute for Science, Cambridge,Massachusetts.

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Table of Contents

Preface
From SAB94 to SAB2000: What's New, Animat? 3
Elements of Viability Theory for Animat Design 13
On the Role of Morphology and Materials in Adaptive Behavior 23
On the Relation among Morphology, Material, and Control in Morpho-Functional Machines 33
Experience-Dependent Perceptual Categorization in a Behaving Real-World Device 41
The Epsilon State Count 51
Connecting Brains to Robots: An Artificial Animal for the Study of Learning in Vertebrate Nervous Systems 61
Designing Artificial Ears for Animat Echolocation 73
Reactive Maze Solving with a Biologically-Inspired Wind Sensor 81
Visual Tracking in Simulated Salamander Locomotion 88
Adaptive Image Stabilization: A Need for Vision-Based Active Robotics Agents 98
Neural Oscillator Networks for Rhythmic Control of Animats 105
On "Parts" and "Wholes" of Adaptive Behavior: Functional Modularity and Diachronic Structure in Recurrent Neural Robot Controllers 115
Telerobotic Sheepdogs: How Useful Is Autonomous Behavior? 125
Generating Interactive Robot Behavior: A Mathematical Approach 135
Hierarchy and Sequence vs. Full Parallelism in Action Selection 147
An Embodied Model of Action Selection Mechanisms in the Vertebrate Brain 157
Learning to Integrate Reactive and Planning Behaviors for Construction 167
The Role of Behavioral Extinction in Animat Action Selection 177
Detecting Novel Features of an Environment Using Habituation 189
Extraction and Inversion of Abstract Sensory Flow Representations 199
Micronavigation 209
Computer Simulation of Long-Range Bird Navigation 219
Neural Network Approach to Path Integration for Homing Navigation 228
Modeling Rodent Head-direction Cells and Place Cells for Spatial Learning in Bio-mimetic Robotics 236
Active Perception and Map Learning for Robot Navigation 246
A Computational Model of Context Processing 256
From Navigation to Active Object Recognition 266
Simulating Classical Conditioning Using a Neuro-Connector Net 279
First Cognitive Capabilities in the Anticipatory Classifier System 287
Obstacle Avoidance for a Distributed Autonomous Swimming Robot by Interaction-Based Learning 297
Evolutionary Design of Learning State Space for Small Airship Control 307
Multi-Agent Reinforcement Learning with Bidding for Segmenting Action Sequences 317
Partitioning in Multi-Agent Reinforcement Learning 325
Adaptive Agents with Reinforcement Learning and Internal Memory 333
Learning in Categorizable Environments 343
Imitation: Learning and Communication 353
Utilising Cerebellar Model for Mobile Robot Control in a Delayed Sensory Environment 363
Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction Animals: VI-MAXSON 373
A Computational Model of Emotional Learning in the Amygdala 383
Sexual Preferences: Dimension and Complexity 395
Visual Resolution Evolving to a Trade-Off Curve 405
Evolving Visually-Guided Robots Able to Discriminate between Different Landmarks 413
Investigating Morphological Symmetry and Locomotive Efficiency Using Virtual Embodied Evolution 420
Further Experiments in the Evolution of Minimally Cognitive Behavior: From Perceiving Affordances to Selective Attention 430
Homeostatic Adaptation to Inversion of the Visual Field and Other Sensorimotor Disruptions 440
Measuring Progress in Coevolutionary Competition 450
Self-Adaptive Mutation in Classifier System Controllers 460
Unorthodox Optimal Foraging Theory 471
Talk Is Cheap: Evolved Strategies for Communication and Action in Asymmetrical Contests 481
Go Ahead, Make My Day: Robot Conflict Resolution by Aggressive Competition 491
Using Information Theory Approach to Study the Communication System and Numerical Competence in Ants 501
Effective Learning Approach for Planning and Scheduling in Multi-Agent Domain 507
Issues of Robot-Human Interaction Dynamics in the Rehabilitation of Children with Autism 519
An Evolutionary Approach to Guiding Students in an Educational Game 529
Author Index 539
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