Argumentation in Multi-Agent Systems
Rahwan, Iyad.
Argumentation in Multi-Agent Systems First International Workshop, ArgMAS 2004, New York, NY, USA, July 19, 2004, Revised Selected and Invited Papers / [electronic resource] : edited by Iyad Rahwan, Pavlos Moraïtis, Chris Reed. - XII, 263 p. Also available online. online resource. - Lecture Notes in Computer Science, 3366 0302-9743 ; . - Lecture Notes in Computer Science, 3366 .
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.
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.
9783540322610
10.1007/b105815 doi
Computer science.
Computer Communication Networks.
Artificial intelligence.
Translators (Computer programs).
Computer Science.
Artificial Intelligence (incl. Robotics).
Computer Communication Networks.
User Interfaces and Human Computer Interaction.
Language Translation and Linguistics.
Q334-342 TJ210.2-211.495
006.3
Argumentation in Multi-Agent Systems First International Workshop, ArgMAS 2004, New York, NY, USA, July 19, 2004, Revised Selected and Invited Papers / [electronic resource] : edited by Iyad Rahwan, Pavlos Moraïtis, Chris Reed. - XII, 263 p. Also available online. online resource. - Lecture Notes in Computer Science, 3366 0302-9743 ; . - Lecture Notes in Computer Science, 3366 .
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.
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.
9783540322610
10.1007/b105815 doi
Computer science.
Computer Communication Networks.
Artificial intelligence.
Translators (Computer programs).
Computer Science.
Artificial Intelligence (incl. Robotics).
Computer Communication Networks.
User Interfaces and Human Computer Interaction.
Language Translation and Linguistics.
Q334-342 TJ210.2-211.495
006.3