Foundations of distributed artificial intelligence
Author(s)
Bibliographic Information
Foundations of distributed artificial intelligence
（Sixth-generation computer technology series）
Wiley, c1996
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Note
"A Wiley-Interscience publication."
Includes bibliographical references and index
Description and Table of Contents
Description
Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions from leaders in the field. Commences with a solid introduction to the theoretical and practical issues of DAI, followed by a discussion of the core research topics--communication, coordination, planning--and how they are related to each other. The third section describes a number of DAI testbeds, illustrating particular strategies commissioned to provide software environments for building and experimenting with DAI systems. The final segment contains contributions which consider DAI from different perspectives.
Table of Contents
Partial table of contents:
FORMULATIVE READINGS.
Logical Foundations of Distributed Artificial Intelligence (E. Werner).
Distributed Artificial Intelligence Testbeds (K. Decker).
COOPERATION, COORDINATION, AND AGENCY.
Coordination Techniques for Distributed Artificial Intelligence (N. Jennings).
Negotiation Principles (H. Muller).
Planning in Distributed Artificial Intelligence (E. Durfee).
DAI FRAMEWORKS AND THEIR APPLICATIONS.
IMAGINE: An Integrated Environment for Constructing Distributed Artificial Intelligence Systems (D. Steiner).
AGenDA--A General Testbed for Distributed Artificial Intelligence Applications (K. Fischer, et al.).
Agent Factory: An Environment for the Fabrication of Multiagent Systems (G. O'Hare).
RELATED DISCIPLINES.
Philosophy and Distributed Artificial Intelligence: The Case of Joint Intention (R. Tuomela).
User Design Issues for Distributed Artificial Intelligence (L. Hall).
Appendix.
Index.
by "Nielsen BookData"