Overview

This book constitutes the strictly refereed post-proceedings of the 4th International Workshop on Computational Logic for Multi-Agent Systems, CLIMA IV, held in Fort Lauderdale, Fl, USA in January 2004.The 11 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are devoted to techniques from computational logic for representing, programming, and reasoning about multi-agent systems. The papers are organized in topical sections on negotiation in MAS, planning in MAS, knowledge revision and update in MAS, and learning in BDI MAS.

Full Product Details

Author:   João Leite ,  Joao Leite
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2005 ed.
Volume:   3259
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.840kg
ISBN:  

9783540240105

ISBN 10:   3540240101
Pages:   251
Publication Date:   03 December 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Invited Papers.- Distributed Algorithms for Dynamic Survivability of Multiagent Systems.- Programming Groups of Rational Agents.- Negotiation in Multi-agent Systems.- An Abductive Framework for Information Exchange in Multi-agent Systems.- Fault Tolerant and Fixed Scalable Structure of Middle-Agents.- Symbolic Negotiation with Linear Logic.- Planning in Multi-agent Systems.- Planning Experiments in the DALI Logic Programming Language.- A New HTN Planning Framework for Agents in Dynamic Environments.- Knowledge Revision and Update in Multi-agent Systems.- Revising Knowledge in Multi-agent Systems Using Revision Programming with Preferences.- A New Framework for Knowledge Revision of Abductive Agents Through Their Interaction.- Weighted Multi Dimensional Logic Programs.- (Dis)Belief Change Based on Messages Processing.- Learning in BDI Multi-agent Systems.- Learning in BDI Multi-agent Systems.- The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules.

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