Decentralized A.I., 2

Author: Demazeau   Y.;Müller   J. -P.  

Publisher: Elsevier Science‎

Publication year: 1991

E-ISBN: 9780444597380

P-ISBN(Paperback): 9780444890511

P-ISBN(Hardback):  9780444890511

Subject: TP Automation Technology , Computer Technology

Language: ENG

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Description

The purpose of this proceedings is to stimulate exchange and discussion of research in the field of multi-agent systems. A multi-agent system consists of at least two agents that are engaged in some task that may require coordination, cooperation and/or competition. An autonomous agent has its own goals, capabilities and knowledge. The actions of an agent occur in the context of other agents that may have structures and strategies different from the agent's own. Multi-agent problems arise when several autonomous agents share a common environment. These problems may result from limited resources, shared or competing goals, etc. This MAAMAW workshop proceedings emphasizes multi-agent systems of all sorts from very simple to very complex agents and agent organizations.

Chapter

Fron Cover

pp.:  1 – 4

Decentralized A.I. 2

pp.:  4 – 5

Copyright Page

pp.:  5 – 8

Foreword

pp.:  6 – 12

Table of Contents

pp.:  8 – 6

Part I: Introduction

pp.:  12 – 22

Part II: External Descriptions

pp.:  22 – 46

Chapter 3. SITUATED ACTION AS A BASIS FOR COOPERATION

pp.:  46 – 60

Part III: Intentional Descriptionsof Intentional Agents

pp.:  60 – 82

Chapter 5. A NEGOTIATION FRAMEWORK FORAUTONOMOUS AGENTS

pp.:  82 – 100

Chapter 6. CAUSATIVE FORCES IN MULTI-AGENT PLANNING

pp.:  100 – 118

Part IV: Intentional Descriptionsof Agents

pp.:  118 – 138

Chapter 8. GROUP ABILITY AND STRUCTURE

pp.:  138 – 158

Chapter 9. LIMITS AND LEVELS OF COOPERATION: DISENTANGLING VARIOUS TYPES OF PROSOCIAL INTERACTION

pp.:  158 – 170

Part V: Reactive Descriptions of Agents

pp.:  170 – 192

Chapter 11. THE FRAMEWORK OF ECO-PROBLEM SOLVING

pp.:  192 – 206

Chapter 12. MAGES : A MULTI-AGENT TESTBED FOR HETEROGENEOUS AGENTS

pp.:  206 – 226

Part Chapter VI. Intentional Agents

pp.:  226 – 242

Chapter 14. MODELLING AUTONOMOUS BELIEF REVISION IN DIALOGUE

pp.:  242 – 256

Chapter 15. COMMUNICATION AND BELIEF CHANGES IN A SOCIETY OF AGENTS: TOWARDS A FORMAL MODEL OF AN AUTONOMOUS AGENT

pp.:  256 – 268

Chapter 16. ADAPTATION BASED ON COOPERATIVE LEARNINGIN MULTI-AGENT SYSTEMS

pp.:  268 – 284

Chapter 17. NEGOTIATION A N D GOAL RELAXATION

pp.:  284 – 298

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