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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 A Neural Network Based Behavior Hierarchy for Locomotion Control A Qualitative Dynamical Analysis of Evolved Locomotion Controllers Neuronal Parameter Maps and Signal Processing Representation and Processing of Acoustic Information in a Biomimetic Neural An Integrated Computational Model of a Perceptual-Motor System Reactive Behaviors of Fast Mobile Robots in Unstructured Environments, Sensor-Based The Adaptive Nature of 3D Perception Propulsion and Guidance in a Simulation of the Worm C. Elegans A Simple, Cheap, and Robust Visual Navigation System
ACTION SELECTION AND BEHAVIORAL SEQUENCES The Use of Hierarchies for Action Selection Two Methods for Hierarchy Learning in Reinforcement Environments Should I Stay or Should I Go: Coordinating Biological Needs with Continuously-updated Extensions of the Associative Control Process (ACP) Network: Hierarchies and Behavior Networks and Force Fields for Simulating Spinal Reflex Behaviors The Ariadne's Clew Algorithm Dynamic Selection of Action Sequences Planning Simple Trajectories Using Neural Subgoal Generators A Note on Rate-Sensitive Habituation
COGNITIVE MAPS AND INTERNAL WORLD MODELS
Categorization, Representations, and The Dynamics of System-Environment Interaction: A Directional Spreading Activation Network for Mobile Robot Navigation Memorizing and Representing Route Scenes Building Long-Range Cognitive Maps Using Local Landmarks Dynamics of Spatial Navigation: An Adaptive Neural Network
LEARNING
Modeling Nervous System Function with a Hierarchical Network of Control Systems An Optimization-Based Categorization of Reinforcement Learning Environments Reinforcement Learning with Hidden States Efficient Learning and Planning within the Dyna Framework Increasing Behavioural Repertoire in a Mobile Robot Learning Biped Robot Obstacle Crossing Learning to Control an Autonomous Robot by Distributed Genetic Algorithms Temporary Memory for Examples Can Speed Learning in a Simple Adaptive System Implementing Inner Drive Through Competence Reflection Dynamic Flight Control with Adaptive Coarse Coding Learning via Task Decomposition
EVOLUTION Neural Networks with Motivational Units Evolutionary Learning of Predatory Behaviors Based on Structured Classifiers Issues in Evolutionary Robotics Evolving Visually Guided Robots An Evolved, Vision-Based Behavioral Model of Coordinated Group Motion Evolution of Herding Behavior in Artificial Animals An Evolutionary Approach to Cognition Emergence of Nest-Based Foraging Strategies in Ecosystems of Neural Networks Evolving Hardware with Genetic Learning: A Filst Step Towards Building a Darwin Evolving Artificial Insect Brains for Artificial Compound Eye Robotics
COLLECTIVE BEHAVIOR
Designing Emergent Behaviors: From Local Interactions to Collective Intelligence Adaptive Action Selection for Cooperative Agent Teams From Tom Thumb to the Dockers: Some Experiments with Foraging Robots Collective Robotic Intelligence Collective Choice of Strategic Type An Adaptive Communication Protocol for Cooperating Mobile Robots Dimensions of Communication and Social Organization in Multi-Agent Robotic Evolution of Trading Strategies Among Heterogeneous Artificial Economic Agents Action Selection and Learning in Multi-Agent Environments
ONE-PAGE SUMMARIES
Structure from Associative Learning The Roots of Motivation Learning Continuous-Space Navigation Heuristics in Real Time The Adaptive Power of Affect: Learning in the SESAME Architecture Model of a Behaviour Based Control Architecture Comparing Robot and Animal Behavior An Embodied Neurally-Based Algorithm for Optimal Action Selection Why Should We Build Artificial Worms and How? Creative Perception Collective Behavior of Silicon Microrobots An Analog VLSI Model of Central Pattern Generation in the Medicinal
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