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VWN Product Reviews: From Animals to Animats: Issue 2: Proceedings of SAB'92

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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
PERCEPTION AND MOTOR CONTROL

Anuran Visuomotor Coordination for Detour Behavior: From Retina to Motor Schemas
Michael A. Arbib and Hyun Bong Lee


Artificial Neural Nets for Controlling a 6-Legged Walking System

Holk Cruse, Uwe M?ller-Wilm, and Jeffrey Dean


A Neural Network Based Behavior Hierarchy for Locomotion Control

Sunil Cherian and Wade 0. Troxell


A Qualitative Dynamical Analysis of Evolved Locomotion Controllers

John C. Gallagher and Randall D. Beer


Neuronal Parameter Maps and Signal Processing

Richard A. Altes


Representation and Processing of Acoustic Information in a Biomimetic Neural
Network

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


An Integrated Computational Model of a Perceptual-Motor System

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


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

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


The Adaptive Nature of 3D Perception

Allen Brookes


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

Ralph Hartley


A Simple, Cheap, and Robust Visual Navigation System

Ian Horswill




ACTION SELECTION AND BEHAVIORAL SEQUENCES


The Use of Hierarchies for Action Selection

Toby Tyrrell


Two Methods for Hierarchy Learning in Reinforcement Environments

Mark Ring


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

Liane M. Gabora


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

Leemon C. Baird In and A. Harry Klopf


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

Simon Giszter


The Ariadne's Clew Algorithm

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


Dynamic Selection of Action Sequences

Feliz Ribeiro, Jean-Paul Barthes, and Eugenio Oliveira


Planning Simple Trajectories Using Neural Subgoal Generators

Jurgen Schmidhuber and Reiner Wahnsiedler


A Note on Rate-Sensitive Habituation

J. E. R. Staddon



COGNITIVE MAPS AND INTERNAL WORLD MODELS



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

Paul F. M. J. Verschure and Rolf Pfeifer


A Directional Spreading Activation Network for Mobile Robot Navigation

David Kortenkamp and Eric Chown


Memorizing and Representing Route Scenes

Saburo Tsuff and Shigang Li


Building Long-Range Cognitive Maps Using Local Landmarks

Tony J. Prescott and John E. W. Mayhew


Dynamics of Spatial Navigation: An Adaptive Neural Network

Nestor A. Schmajuk and H. T. Blair



LEARNING



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

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


An Optimization-Based Categorization of Reinforcement Learning Environments

Michael L. Littman


Reinforcement Learning with Hidden States

Long-Ji Lin and Tom M. Mitchell


Efficient Learning and Planning within the Dyna Framework

Jing Peng and Ronald J. Williams


Increasing Behavioural Repertoire in a Mobile Robot

Ulrich Nehmzow, Tim Smithers, and Brendan McGonigle


Learning Biped Robot Obstacle Crossing

Thomas Ulrich Vogel


Learning to Control an Autonomous Robot by Distributed Genetic Algorithms

Marco Colombetti and Marco Dorigo


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

Lawrence Davis, Stewart Wilson, and David Orvosh


Implementing Inner Drive Through Competence Reflection

Alexander Linden and Frank Weber


Dynamic Flight Control with Adaptive Coarse Coding

Bruce E. Rosen and James M. Goodwin


Learning via Task Decomposition

Josh Tenenberg, Jonas Karlsson, and Steven Whitehead



EVOLUTION


Neural Networks with Motivational Units

Federico Cecconi and Domenico Parisi


Evolutionary Learning of Predatory Behaviors Based on Structured Classifiers

Hitoshi Iba, Hugo de Garis, and Tetsuya Higuchi


Issues in Evolutionary Robotics

Inman Harvey, Philip Husbands, and Dave Cliff


Evolving Visually Guided Robots

Dave Cliff, Philip Husbands, and Inman Harvey


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

Craig W. Reynolds


Evolution of Herding Behavior in Artificial Animals

Gregory M. Werner and Michael G. Dyer


An Evolutionary Approach to Cognition

Dwight Deugo and Franz Oppacher


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

Dario Floreano


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

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


Evolving Artificial Insect Brains for Artificial Compound Eye Robotics

Luis R. Lopez and Robert E. Smith




COLLECTIVE BEHAVIOR



Designing Emergent Behaviors: From Local Interactions to Collective Intelligence

Maja J. Mataric


Adaptive Action Selection for Cooperative Agent Teams

Lynne E. Parker


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

Alexis Drogoul and Jacgues Ferber


Collective Robotic Intelligence

C. Ronald Kube and Hong Zhang


Collective Choice of Strategic Type

Chisato Numaoka and Akikazu Takeuchi


An Adaptive Communication Protocol for Cooperating Mobile Robots

Holly Yanco and Lynn Andrea Stein


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

Ronald C. Arkin and J. David Hobbs


Evolution of Trading Strategies Among Heterogeneous Artificial Economic Agents

Andrea Beltratti and Sergio Margarita


Action Selection and Learning in Multi-Agent Environments

Gerhard Weiss


 


ONE-PAGE SUMMARIES



Structure from Associative Learning

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


The Roots of Motivation

Christian Balkenius


Learning Continuous-Space Navigation Heuristics in Real Time

Gregory D. Benson and Armand Prieditis


The Adaptive Power of Affect: Learning in the SESAME Architecture

Eric Chown


Model of a Behaviour Based Control Architecture

Luis Correia and A. Steiger-Gar?ao


Comparing Robot and Animal Behavior

Bridget Hallam and Gillian Hayes


An Embodied Neurally-Based Algorithm for Optimal Action Selection

Owen Holland and Martin Snaith


Why Should We Build Artificial Worms and How?

Oded Maler


Creative Perception

M. A. Rodrigues and M. H. Lee


Collective Behavior of Silicon Microrobots

Isao Shimoyama, Toshio Watanabe, Yoshihiko Kuwana, and Hirofumi Miura


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

Micah S. Siegel

 

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