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020 _a9783642002076
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024 7 _a10.1007/978-3-642-00207-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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082 0 4 _a006.3
_223
245 1 0 _aArgumentation in Multi-Agent Systems
_h[electronic resource] :
_bFifth International Workshop, ArgMAS 2008, Estoril, Portugal, May 12, 2008, Revised Selected and Invited Papers /
_cedited by Iyad Rahwan, Pavlos Moraitis.
250 _a1st ed. 2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2009.
300 _aX, 237 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 ;
_v5384
505 0 _aArgument-Based Reasoning -- Personality-Based Practical Reasoning -- Argumentation Based Resolution of Conflicts between Desires and Normative Goals -- A Constrained Argumentation System for Practical Reasoning -- An Argumentation Framework Based on Strength for Ontology Mapping -- Contextual Extension with Concept Maps in the Argument Interchange Format -- Argumentation and Dialogue -- Command Dialogues -- Argumentation and Artifact for Dialogue Support -- Co-ordination and Co-operation in Agent Systems: Social Laws and Argumentation -- Annotation and Matching of First-Class Agent Interaction Protocols -- Strategic and Pragmatic Issues -- Argumentation- vs. Proposal-Based Negotiation: An Empirical Case Study on the Basis of Game-Theoretic Solution Concepts -- Argumentation-Based Information Exchange in Prediction Markets -- An Argumentative Approach for Modelling Coalitions Using ATL -- A Dialogue Mechanism for Public Argumentation Using Conversation Policies.
520 _aDuring the last decade Argumentation has been gaining importance within Artificial Intelligence especially in multi agent systems. Argumentation is a powerful mechanism for modelling the internal reasoning of an agent. It also provides tools for analysing, designing and implementing sophisticated forms of interaction among rational agents, thus making important contributions to the theory and practice of multiagent dialogues. Application domains include: nonmonotonic reasoning, legal disputes, business negotiation, labor disputes, team formation, scientific inquiry, deliberative democracy, ontology reconciliation, risk analysis, scheduling, and logistics. This volume presents the latest developments in this area at the interface of argumentation theory and multi agent systems. The 10 revised full papers presented together with 3 invited papers from the AAMAS 2008 conference were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on argument-based reasoning, argumentation and dialogue, as well as strategic and pragmatic issues.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer networks .
_931572
650 0 _aComputer programming.
_94169
650 0 _aComputer simulation.
_95106
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Communication Networks.
_9157920
650 2 4 _aProgramming Techniques.
_9157921
650 2 4 _aComputer Modelling.
_9157922
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
700 1 _aRahwan, Iyad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9157923
700 1 _aMoraitis, Pavlos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9157924
710 2 _aSpringerLink (Online service)
_9157925
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642002069
776 0 8 _iPrinted edition:
_z9783642002083
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5384
_9157926
856 4 0 _uhttps://doi.org/10.1007/978-3-642-00207-6
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