Foundations of Distributed Artificial Intelligence
Distributed artificial intelligence (DAI) has grown rapidly inrecent years and continues to stimulate widespread researchactivity. Until now, however, no book has provided a comprehensive,unified treatment of DAI--forcing engineers, researchers, andstudents to comb the professional literature in search of pertinentinformation.
Foundations of Distributed Artificial Intelligence fills thatgap.
This up-to-date collection of contributions from around the globeexamines theoretical principles and practical applications,combines a broad view of the field with detailed examinations ofspecific research topics, and offers superb coverage at bothintroductory and advanced levels.
The presentation is divided into four parts. Section one covers thefundamentals and necessary background material upon which thesecond section builds its discussion of communication,coordination, planning, and agency. The third part of the bookfocuses on the specifics of systems, testbeds, and softwareenvironments used in many industrial and practicalapplications--including ARCHON, IMAGINE, CooperA, AGenDA,TæMS, and Agent Factory. Finally, the book devotes an entiresegment to related areas of scientific inquiry, from philosophy andthe social sciences to interface design issues for DAI systems.Throughout, the contributors offer real-world examples from theirown research to describe various methods, solutions, and approachesin current practice; and relate the information to the larger bodyof work available on the subject.
For scientists, engineers, and graduate students involved in thestudy of this discipline, Foundations of Distributed ArtificialIntelligence serves as an excellent introductory text, an extremelyuseful guide to current knowledge, and a bountiful source of ideasfor further research.
This is the first book to provide a comprehensive treatment ofdistributed artificial intelligence, a field that has seen anexplosion of research in recent years. The tremendous and growinginterest in this field has underscored the need for an up-to-date,integrated reference accessible to both researchers and graduatestudents.
A comprehensive, unified treatment of this increasingly importantarea of research including contributions from an internationalgroup of leading experts, Foundations of Distributed ArtificialIntelligence:
* Treats the various topics at both introductory and advancedlevels
* Covers theory and applications, explaining in detail theprinciples underlying DAI
* Describes and correlates the main research areas ofcommunication, coordination, planning, and agency
* Details specific strategies for the development of software usedin building and experimenting with DAI systems
* Correlates DAI to the larger arena of scientific inquiry;particularly philosophy, organizational intelligence, cognitivescience, and human-computer interaction
* Reviews major achievements in the field over the past twentyyears
* Provides an extensive list of references and numerous resources
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An Overview of Distributed Artificial Intelligence
Logical Foundations of Distributed Artificial Intelligence
Distributed Artificial Intelligence Testbeds
Applications of Distributed Artificial Intelligence
Coordination Techniques for Distributed Artificial
Planning in Distributed Artificial Intelligence
The Evolution of the CooperA Platform
AGenDAA General Testbed for Distributed Artificial
A Framework for Environment Centered
An Environment for the Fabrication
Organizational Intelligence and Distributed Artificial
Distributed Artificial Intelligence References
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ability achieve actions activities agent architecture algorithm Anif application approach ARCHON Artif autonomous agents behavior beliefs blackboard systems Chapter cognitive Cohen commitment communication complex Conf cooperation coordination defined Demazeau described developed Distributed Artificial Intelligence distributed problem solving domain Durfee DVMT dynamic environment evaluation example execution expert systems formal framework function goals heuristics Huhns implementation Intell interaction interface Jennings joint intention knowledge knowledge representation language Lesser logic MAGSY mechanisms modal logic module Morgan Kaufmann multiagent planning multiagent systems n-puzzle negotiation object operators organization organizational partial global planning perfect information perform possible pragmatic Proc programming protocol reactive agents reasoning represent representation request result robots Rosenschein scheduling Section semantics simulation situation situation semantics social specific speech acts strategy structure Syst task telemetry temporal temporal logics testbed theory types uncertainty Werner
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