000 04609nam a22005535i 4500
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020 _a9783540302001
_9978-3-540-30200-1
024 7 _a10.1007/b104175
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aComputational Logic in Multi-Agent Systems
_h[electronic resource] :
_b4th International Workshop, CLIMA IV, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited Papers /
_cedited by João Leite.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXII, 251 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3259
505 0 _aInvited 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.
520 _aOver 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.
650 0 _aArtificial intelligence.
650 0 _aComputer networks .
650 0 _aMachine theory.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Communication Networks.
650 2 4 _aFormal Languages and Automata Theory.
700 1 _aLeite, João.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540240105
776 0 8 _iPrinted edition:
_z9783540805717
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3259
856 4 0 _uhttps://doi.org/10.1007/b104175
912 _aZDB-2-SCS
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