Computational Logic In Multi-agent Systems: 4th International Workshop, Clima Iv, Fort Lauderdale, Fl., Usa, January 6-7, 2004 : Revised Selected And Invited Papers Clima Iv Clima 4 Clima Four Clima 2004

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. Over recent years, the notion of agency has claimed a major role in de?ning the trends of modern research. In?uencing a broad spectrum of disciplines such as sociology, psychology, philosophy and many more, the agent paradigm virtually invaded every sub?eld of computer science, because of its promising applications for the Internet and in robotics. Multi-agent systems (MAS) are communities of problem-solving entities that can perceive and act upon their environments to achieve their individual goals as well as joint goals. The work on such systems integrates many technologies and concepts in arti?cial intelligence and other areas of computing. There is a full spectrum of MAS applications that have been and are being developed: from search engines to educational aids to electronic commerce and trade. Although commonly implemented by means of imperative languages, mainly for reasons of e?ciency, the agent concept has recently increased its in?uence in the research and development of computational logic-based systems. Computational logic, by virtue of its nature both in substance and method, providesawell-de?ned, general, andrigorousframeworkforsystematicallystu- ing computation, be it syntax, semantics, and procedures, or implementations, environments, tools, and standards. Computational logic approaches problems, and provides solutions, at a su?cient level of abstraction so that they generalize from problem domain to problem domain, a?orded by the nature of its very foundation in logic, both in substance and method, which constitutes one of its major assets Distributed Algorithms For Dynamic Survivability Of Multiagent Systems / V.s. Subrahmanian, Sarit Kraus, Yingqian Zhang -- Programming Groups Of Rational Agents / Michael Fisher, Chiara Ghidini, Benjamin Hirsch -- An Abductive Framework For Information Exchange In Multi-agent Systems / Marco Gavanelli [and Others] -- Fault Tolerant And Fixed Scalable Structure Of Middle-agents / Pavel Tichy -- Symbolic Negotiation With Linear Logic / Peep Kungas And Mihhail Matskin -- Planning Experiments In The Dali Logic Programming Language / Stefania Costantini And Arianna Tocchio -- A New Htn Planning Framework For Agents In Dynamic Environments / Hisashi Hayashi, Kenta Cho, Akihiko Ohsuga -- Revising Knowledge In Multi-agent Systems Using Revision Programming With Preferences / Inna Pivkina, Enrico Pontelli, Tran Cao Son -- A New Framework For Knowledge Revision Of Abductive Agents Through Their Interaction / Andrea Bracciali And Paolo Torroni -- Weighted Multi Dimensional Logic Programs / Pierangelo Dell'acqua -- (dis)belief Change Based On Messages Processing / Laurent Perrussel And Jean-marc Thevenin -- Learning In Bdi Multi-agent Systems / Alejandro Guerra-hernandez, Amal El Fallah-seghrouchni, Henry Soldano -- The Apriori Stochastic Dependency Detection (asdd) Algorithm For Learning Stochastic Logic Rules / Christopher Child And Kostas Stathis. Jürgen Dix, João Leite (eds.). Includes Bibliographical References And Index. Also Issued Online. Table of Contents......Page 12 Distributed Algorithms for Dynamic Survivability of Multiagent Systems......Page 14 Programming Groups of Rational Agents......Page 29 An Abductive Framework for Information Exchange in Multi-agent Systems......Page 47 Fault Tolerant and Fixed Scalable Structure of Middle-Agents......Page 66 Symbolic Negotiation with Linear Logic......Page 84 Planning Experiments in the DALI Logic Programming Language......Page 102 A New HTN Planning Framework for Agents in Dynamic Environments......Page 121 Revising Knowledge in Multi-agent Systems Using Revision Programming with Preferences......Page 147 A New Framework for Knowledge Revision of Abductive Agents Through Their Interaction......Page 172 Weighted Multi Dimensional Logic Programs......Page 191 (Dis)Belief Change Based on Messages Processing......Page 214 Learning in BDI Multi-agent Systems......Page 231 The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules......Page 247 Author Index......Page 264 Though multiagent systems are rapidly growing in importance, there has been little work to date on ensuring the survivability of multiagent systems (MASs for short).