Synopses & Reviews
< b=""> August 8-12, 1994, Brighton, England<> < br=""> < br=""> < br=""> < br=""> < br=""> < i=""> From Animals to Animats 3<> brings together research intended to advance the frontier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of & quot; animat& quot; - an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectures capable of inducing adaptive behavior in real or artificial animals.< br=""> < br=""> < b=""> < i=""> Topics include<> <> < br=""> < br=""> - Individual and collective behavior.< br=""> - Neural correlates of behavior.< br=""> - Perception and motor control.< br=""> - Motivation and emotion.< br=""> - Action selection and behavioral sequences.< br=""> - Ontogeny, learning, and evolution.< br=""> - Internal world models and cognitive processes.< br=""> - Applied adaptive behavior.< br=""> - Autonomous robots.< br=""> - Heirarchical and parallel organizations.< br=""> - Emergent structures and behaviors.< br=""> - Problem solving and planning.< br=""> - Goal-directed behavior.< br=""> - Neural networks and evolutionary computation.< br=""> - Characterization of environments.< br=""> < br/=""> < i=""> A Bradford Book<>
Synopsis
August 8-12, 1994, Brighton, England
From Animals to Animats 3 brings together research intended to advance the fron tier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of "animat" -- an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectures capable of inducing adaptive behavior in real or artificial animals.
Topics include: - Individual and collective behavior. - Neural correlates of behavior. - Perception and motor control. - Motivation and emotion. - Action selection and behavioral sequences. - Ontogeny, learning, and evolution. - Internal world models and cognitive processes. - Applied adaptive behavior. - Autonomous robots. - Heirarchical and parallel organizations. - Emergent structures and behaviors. - Problem solving and planning. - Goal-directed behavior. - Neural networks and evolutionary computation. - Characterization of environments.
A Bradford Book
About the Author
Phil Husbands is Professor of Computer Science and Artificial Intelligence at the University of Sussex.Jean-Arcady Meyer is Emeritus Research Director at CNRS (Centre National de la Recherche Scientifique) and a researcher at the Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris.Stewart W. Wilson is a scientist at The Rowland Institute for Science, Cambridge, Massachusetts.