FOUNDATIONS OF DISTRIBUTED ARTIFICIAL INTELLIGENCE

Edited by: Greg O'Hare & Nick Jennings

Sixth-Generation Computer Technology Series
Branko Soucek, Series Editor
John WIley and Sons

This is the first book to provide a comprehensive treatment of distributed artificial intelligence, a field that has seen an explosion in recent years. The tremendous and growing interest in this field has underscored the need for an up-to-date, integrated reference accessible to both researchers and graduate students.

Including contributions from an international group of leading experts, Foundations of Distributed Artificial Intelligence:

Treats the various topics at both introductory and advanced levels
Covers theory and applications, explaining in detail the principles underlying DAI
Describes and correlates the main research areas of communication, coordination, planning, and agency
Details specific strategies for the development of software used in building and experimenting with DAI systems
Correlates DAI to the larger arena of scientific inquiry; particularly philosophy, organizational intelligence, cognitive science, and human-computer interaction
Reviews major achievements in the field over the past twenty years Provides an extensive list of references and numerous resources

Introduction

PART I: FORMULATIVE READINGS

  1. 	An Overview of Distributed Artificial Intelligence
  	B. Moulin & B. Chaib-draa

  2. 	Logical Foundations of Distributed Artificial Intelligence
  	E. Werner

  3. 	Distributed Artificial Intelligence Testbeds
  	K. S. Decker

  4. 	Applications of Distributed Artificial Intelligence in Industry
  	H. V. D. Parunak

PART II: COOPERATION, COORDINATION & AGENCY

  5.	Belief Desire Intention Agent Architectures
  	A. Haddadi & K. Sundermeyer

  6. 	Coordination Techniques for Distributed Artificial Intelligence
  	N. R. Jennings

  7.	Negotiation Principles
  	H. J. MFCller

  8.	Planning in Distributed Artificial Intelligence
  	E. H. Durfee

  9.	Agent Dynamics
  	G. Kiss

  10. 	Temporal Belief Logics for Modelling Distributed Artificial
 	Intelligence Systems
  	M. J. Wooldridge

  11.	Reactive Distributed Artificial Intelligence:
	Principles and Applications
  	J. Ferber
  
PART III: DAI FRAMEWORKS & THEIR APPLICATIONS

  12.	ARCHON: A Distributed Artificial Intelligence System
  	 for Industrial Applications
  	D. Cockburn & N. R. Jennings

  13.	IMAGINE: An Integrated Environment for Constructing
  	Distributed Artificial Intelligence Systems
  	D. D. Steiner

  14.	The Evolution of the CooperA Platform
  	L. Sommaruga, N. M. Avouris & M. H. V. Liederkerke

  15.	AGenDA - A General Testbed for Distributed Artificial
  	Intelligence Applications
  	K. Fisher, J. P. MFCller & M. Pischel

  16.	TC6MS: A Framework for Environment Centred Analysis and
  	Design of Coordination Mechanisms
  	K. S. Decker

  17. 	The Agent Factory: An Environment for the Fabrication
  	 of Distributed Artificial Intelligence Systems
  	G. M. P. O'Hare

PART IV: RELATED DISCIPLINES

  18.	Philosophy and Distributed Artificial Intelligence
  	R. Tuomela

  19. 	Organisational Intelligence and Distributed
  	Artificial Intelligence
  	S. Kirn

  20.	Distributed Artificial Intelligence and Social
  	Science: Critical Issues
  	C. Castelfranchi and R. Conte

  21.	User Design Issues for Distributed Artificial Intelligence
  	L. E. Hall

Distributed Artificial Intelligence References and Resources
D. Kwek and S. Kalenka

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FOUNDATIONS OF DISTRIBUTED ARTIFICIAL INTELLIGENCE

Edited by: Greg O'Hare & Nick Jennings

Sixth-Generation Computer Technology Series Branko Soucek, Series Editor John WIley and Sons

TABLE OF CONTENTS

Sixth-Generation Computer Technology Series
Branko Soucek, Series Editor
John WIley and Sons