Overview
Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering (ISCA, volume 13)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
Keywords
About this book
This book presents a general framework for adaptive systems. The utility of the comprehensive framework is demonstrated by tailoring it to particular models of computational learning, ranging from neural networks to declarative logic.
The key to robustness lies in distributed decision making. An exemplar of this strategy is the neural network in both its biological and synthetic forms. In a neural network, the knowledge is encoded in the collection of cells and their linkages, rather than in any single component. Distributed decision making is even more apparent in the case of independent agents. For a population of autonomous agents, their proper coordination may well be more instrumental for attaining their objectives than are their individual capabilities.
This book probes the problems and opportunities arising from autonomous agents acting individually and collectively. Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored. Finally, the utility of game theory for artificial agents is revealed through a case study in robotic coordination.
Given the universality of the subjects -- learning behavior and coordinative strategies in uncertain environments -- this book will be of interest to students and researchers in various disciplines, ranging from all areas of engineering to the computing disciplines; from the life sciences to the physical sciences; and from the management arts to social studies.
Authors and Affiliations
Bibliographic Information
Book Title: Learning and Coordination
Book Subtitle: Enhancing Agent Performance through Distributed Decision Making
Authors: Steven H. Kim
Series Title: Intelligent Systems, Control and Automation: Science and Engineering
DOI: https://doi.org/10.1007/978-94-011-1016-7
Publisher: Springer Dordrecht
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1994
Hardcover ISBN: 978-0-7923-3046-2Published: 30 September 1994
Softcover ISBN: 978-94-010-4442-4Published: 15 October 2012
eBook ISBN: 978-94-011-1016-7Published: 06 December 2012
Series ISSN: 2213-8986
Series E-ISSN: 2213-8994
Edition Number: 1
Number of Pages: XII, 188
Topics: Artificial Intelligence, Manufacturing, Machines, Tools, Processes, Mechanical Engineering, Operations Management