Distributed Artificial Intelligence: Theory and Praxis
Distributed AI is the branch of AI concerned with how to coordinate behavior among a collection of semi-autonomous problem-solving agents: how they can coordinate their knowledge, goals and plans to act together, to solve joint problems, or to make individually or globally rational decisions in the face of uncertainty and multiple, conflicting perspectives. Distributed, coordinated systems of problem solvers are rapidly becoming practical partners in critical human problem-solving environments, and DAI is a rapidly developing field of both application and research, experiencing explosive growth around the world.
This book presents a collection of articles surveying several major recent developments in DAI. The book focuses on issues that arise in building practical DAI systems in real-world settings, and covers work undertaken in a number of major research and development projects in the U.S. and in Europe. It provides a synthesis of recent thinking, both theoretical and applied, on major problems of DAI in the 1990s.
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An Overview of DAI
DAI Approaches to Coordination
Using Reactive MultiAgent Systems in Simulation and Problem Solving
ObjectBased Concurrent Programming and Distributed Artificial Intelligence
Experience in the Development of MADE
A Case Study
An Architecture for Enterprise Modeling and Integration
Teaching Distributed Artificial Intelligence
List of Authors and Affiliations
abstraction actions activities agents allow analysis applications approach architecture ARCHON behavior called changes collection communication complex Computer concepts Concurrent Conference considered cooperation coordination course DAI systems decision defined dependencies described detailed dialogue discussed Distributed Artificial Intelligence domain dynamic emergent Engineering environment example execution exist experiments Ferber Figure framework function Gasser global goals identified IEEE implementation important individual integration interaction interested interface issues Italy knowledge language layer Lesser Management mechanisms messages modules monitoring multi-agent systems negotiation OBCP objects operator organization organizational particular performance planning possible presented problem solving Proceedings production programming proposed protocols reactive reasoning representation represented requirements responsibility result sharing simulation situation social solution solvers specific structure tasks techniques Testbed theory Transactions transparency types uncertainty user interface various
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