Argumentation in Multi-Agent Systems 6th International Workshop, ArgMAS 2009, Budapest, Hungary, May 12, 2009. Revised Selected and Invited Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: McBurney, Peter (Editor), Rahwan, Iyad (Editor), Parsons, Simon (Editor), Maudet, Nicolas (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Lecture Notes in Computer Science, 6057
• Subjects: Computer science.; Computer communication systems.; Software engineering.; Mathematical logic.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Software Engineering/Programming and Operating Systems.; Mathematical Logic and Formal Languages.; Information Systems Applications (incl. Internet).; Software Engineering.

Table of Contents:

• Practical Reasoning and Argument about Action
• Burden of Proof in Deliberation Dialogs
• A Generative Dialogue System for Arguing about Plans in Situation Calculus
• Dominant Decisions by Argumentation Agents
• A Model for Integrating Dialogue and the Execution of Joint Plans
• Practical Reasoning Using Values
• Persuasion and Negotiation
• Strategic Argumentation in Rigorous Persuasion Dialogue
• Assumption-Based Argumentation for the Minimal Concession Strategy
• Subjective Effectiveness in Agent-to-Human Negotiation: A Frame x Personality Account
• Argumentation Theory
• Dynamics in Argumentation with Single Extensions: Attack Refinement and the Grounded Extension (Extended Version)
• Arguing Using Opponent Models
• Realizing Argumentation in Multi-agent Systems Using Defeasible Logic Programming
• Computing Abductive Argumentation in Answer Set Programming
• Multi-Party Argument from Experience
• Applications and Emotions
• Using Ontology Modularization for Efficient Negotiation over Ontology Correspondences in MAS
• Applying Dialogue Games to Manage Recommendation in Social Networks
• Emotions in Rational Decision Making
• Using Personality Types to Support Argumentation
• Comparing Argumentation Frameworks for Composite Ontology Matching.