Distributed Artificial Intelligence: Theory and Praxis

Voorkant
Nicholas M. Avouris, Les Gasser
Springer Science & Business Media, 30 nov. 1992 - 235 pagina's
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.
 

Wat mensen zeggen - Een review schrijven

We hebben geen reviews gevonden op de gebruikelijke plaatsen.

Geselecteerde pagina's

Inhoudsopgave

Introduction
An Overview of DAI
1
DAI Approaches to Coordination
23
Using Reactive MultiAgent Systems in Simulation and Problem Solving
45
ObjectBased Concurrent Programming and Distributed Artificial Intelligence
73
Experience in the Development of MADE
101
A Case Study
121
An Overview
133
Transparency Analysis
155
An Architecture for Enterprise Modeling and Integration
189
Teaching Distributed Artificial Intelligence
207
List of Authors and Affiliations
221
Index
223
Copyright

Veelvoorkomende woorden en zinsdelen

Bibliografische gegevens