From Animals to Animats 4 brings together the latest research at the frontier of an exciting new approach to understanding intelligence.

More than sixty contributions in From Animals to Animats 2 byresearchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fieldsinvestigate behaviors and the underlying mechanisms that allow animals and, potentially, robots toadapt and survive in uncertain environments. Jean-Arcady Meyer is Director of Research, CNRS, Paris.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. Topics covered: The Animat Approach to Adaptive Behavior,Perception and Motor Control, Action Selection and Behavioral Sequences, Cognitive Maps and InternalWorld Models, Learning, Evolution, Collective Behavior.

The Animals to Animats Conference brings together researchers fromethology, psychology, ecology, artificial intelligence, artificiallife, robotics, engineering, and related fields to furtherunderstanding of the behaviors and underlying mechanisms that allownatural and synthetic agents (animats) to adapt and survive inuncertain environments 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.

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

This exciting study explores the novel insight, based on well-established ethological principles, that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems.

This book is based on the author's phD thesis, which won the 1996 ACM Doctoral Dissertation Award. The author proposes and develops an artificial life paradigm for computer graphics animation by systematically constructing artificial animals controlled by self-animating autonomous agents. The animation agents emulate the realistic appearance, movement, and behavior of individual animals, as well as the patterns of social behavior evident in groups of animals. The paradigm is based on a computational model capturing the essential characteristics common to all biological creatures: biomechanics, locomotion, perception, and behavior. The approach is validated through the implementation of a virtual marine world inhabited by a variety of lifelike artificial fish, where each fish is a functional autonomous agent.

Humans think they invent everything, but the fact is, us animals have invented ways of solving problems, making unbelievable materials, ways of getting around and working out how to survive on our own for millions of years. In this book you will meet the animal inventors who have shared their super inventing powers to make amazing things for humans.