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From Animals to Animats: Issue 3: Proceedings of SAB'94
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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 SAB90 to SAB94: Four Years of Animat Research Mechanism and Process in Animal Behavior: Models of Animals, Animals as Models Coherent Behavior from Many Adaptive Processes Stability in Adaptation and Learning
PERCEPTION AND MOTOR CONTROL
Modeling the Role of Cerebellum in Prism Adaptation Robotic Experiments in Cricket Phonotaxis How to Watch Your Step: Biological Evidence and an Initial Model On Why Better Robots Make It Harder Insect Vision and Olfaction: Different Neural Architectures for Different The Interval Reduction Strategy for Monitoring Cupcake Problems Visual Control of Altitude and Speed in a Flying Agent
ACTION SELECTION AND BEHAVIORAL SEQUENCES
What Is Cognitive and What Is Not Cognitive? Action-Selection in Hamsterdam: Lessons from Ethology Behavioral Dynamics of Escape and Avoidance: A Neural Network Approach Organizing an Animat's Behavioural Repertoires Using Kohonen Feature Maps Action Selection for Robots in Dynamic Environments through Inter- Behaviour
MOTIVATION AND EMOTION
An Hierarchical Classifier System Implementing a Motivationally Autonomous Using Second Order Neural Connections for Motivation of Behavioral Choices
INTERNAL WORLD MODELS AND COGNITIVE PROCESSES
Spatial Learning and Representation in Animats Location Recognition in Rats and Robots Emergent Functionality in Human Infants Connectionist Environment Modelling in a Real Robot A Hybrid Architecture for Learning Continuous Environmental Models in Maze A Place Navigation Algorithm Based on Elementary Computing Procedures and Self-Organizing Topographic Maps and Motor Planning The Effect of Memory Length on the Foraging Behavior of a Lizard
CHARACTERIZATION OF ENVIRONMENTS
The Blind Breeding the Blind: Adaptive Behavior without Looking Memoryless Policies: Theoretical Limitations and Practical Results
LEARNING
A Comparison of Q-Learning and Classifier Systems Paying Attention to What's Important. Using Focus of Attention to Improve Learning Efficient Reactive Behavioral Sequences from Basic Reflexes in a The Importance of Leaky Levels for Behavior-Based AI A Topological Neural Map for On-Line Learning: Emergence of Obstade Avoidance Reinforcement Tuning of Action Synthesis and Selection in a 'Virtual Frog' Achieving Rapid Adaptations in Robots by Means of External Tuition Two-Link-Robot Brachiation with Connectionist Q-Learning An Architecture for Learning to Behave Reinforcement Learning for Homeostatic Endogenous Variables An Architecture for Representing and Learning Behaviors by Trial and Error A Distributed Adaptive Control System for a Quadruped Mobile Robot Reinforcement Learning with Dynamic Covering of State-Action Space:Partitioning The Five Neuron Trick: Using Classical Conditioning to Learn How to Seek Light Adaptation in Dynamic Environments through a Minimal Probability of Exploration
EVOLUTION Integrating Reactive, Sequential, and Learning Behavior Using Dynamical Neural Seeing the Light: Artificial Evolution, Real Vlsion
Evolution of Corridor Following Behavior in a Noisy World Protean Behavior in Dynamic Games: Arguments for the Co-Evolution of Pursuit-Evasion Automatic Creation of an Autonomous Agent: Genetic Evolution of a Neural-Network The Effect of Parasitism on the Evolution of a Communication Protocol in an
COLLECTIVE BEHAVIOR
Towards Robot Cooperation A Case Study in the Behavior-Oriented Design of Autonomous Agents Learning to Behave Socially Signalling and Territorial Agression: An Investigation by Means of Synthetic Integration of Reactive and Telerobotic Control in Multi-Agent Robotic Systems MINIMEME: Of Life and Death in the Noosphere Learning Coordinated Motions in a Competition for Food between Ant Colonies APPLIED ADAPTIVE BEHAVIOR Emergent Colonization and Graph Partitioning Diversity and Adaptation in Populations of Clustering Ants
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