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Argumentation in Multi-Agent Systems : First International Workshop, ArgMAS 2004, New York, NY, USA, July 19, 2004, Revised Selected and Invited Papers / / edited by Iyad Rahwan, Pavlos Moraitis, Chris Reed



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Titolo: Argumentation in Multi-Agent Systems : First International Workshop, ArgMAS 2004, New York, NY, USA, July 19, 2004, Revised Selected and Invited Papers / / edited by Iyad Rahwan, Pavlos Moraitis, Chris Reed Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Edizione: 1st ed. 2005.
Descrizione fisica: 1 online resource (XII, 263 p.)
Disciplina: 006.3
Soggetto topico: Language and languages - Style
Artificial intelligence
Computer networks
User interfaces (Computer systems)
Human-computer interaction
Natural language processing (Computer science)
Stylistics
Artificial Intelligence
Computer Communication Networks
User Interfaces and Human Computer Interaction
Natural Language Processing (NLP)
Altri autori: RahwanIyad  
MoraitisPavlos  
ReedChris <1956->  
Note generali: Papers presented at a workshop held at Columbia University, New York in July 2004.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Foundations of Dialogues -- Some Preliminary Steps Towards a Meta-theory for Formal Inter-agent Dialogues -- Towards a Formal and Implemented Model of Argumentation Schemes in Agent Communication -- Formal Dialectic Specification -- A Modal Semantics for an Argumentation-Based Pragmatics for Agent Communication -- Layered Strategies and Protocols for Argumentation-Based Agent Interaction -- Belief Revision -- Revising Beliefs Through Arguments: Bridging the Gap Between Argumentation and Belief Revision in MAS -- An Argument-Based Framework to Model an Agent’s Beliefs in a Dynamic Environment -- Argumentation in Bayesian Belief Networks -- Persuasion & Deliberation -- Specifying and Implementing a Persuasion Dialogue Game Using Commitments and Arguments -- A Dialogue Game Protocol for Multi-agent Argument over Proposals for Action -- A Denotational Semantics for Deliberation Dialogues -- Negotiation -- Bargaining and Argument-Based Negotiation: Some Preliminary Comparisons -- On the Generation of Bipolar Goals in Argumentation-Based Negotiation -- A Bayes Net Approach to Argumentation Based Negotiation -- Negotiation Among DDeLP Agents -- Strategic Issues -- Is It Worth Arguing? -- When Is It Okay to Lie? A Simple Model of Contradiction in Agent-Based Dialogues.
Sommario/riassunto: The theory of argumentation is a rich, interdisciplinary area of research lying across philosophy, communication studies, linguistics, and psychology (at least). Its techniques and results have found a wide range of applications in both t- oretical and practical branches of arti'cial intelligence and computer science. Several theories of argumentation with various semantics have been proposed in the literature. Multi-agent systems theory has picked up argument-inspired approaches and speci'cally argumentation-theoretic results from many di'erent areas. The community of researchers in argumentation and multi-agent systems is currently presented with a unique opportunity to integrate the various und- standings of argument into a coherent and core part of the functioning of - tonomouscomputationalsystems.Thebene'tsrangefromextendedsemanticsof arguments construed as relationships between epistemic atoms, through conv- sation protocols for argumentation with serendipitous information exchange, to models of dialectical practical reasoning, both intra- and inter-agent (and a m- ture of the two). In all these cases argumentation is used to structure knowledge representation, reasoning and agent interaction, and o'ers a potential means of better integrating these disparate problems.
Titolo autorizzato: Argumentation in multi-agent systems  Visualizza cluster
ISBN: 3-540-32261-2
3-540-24526-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910767571503321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 3366