Argumentation in Multi-Agent Systems

8th International Workshop, ArgMAS 2011, Taipei, Taiwan, May 2011, Revised Selected Papers
Herausgegeben:McBurney, Peter; Parsons, Simon; Rahwan, Iyad

• Broschiertes Buch

Produktbeschreibung

This book constitutes the thoroughly reviewed post-proceedings of the 8th International Workshop on Argumentation in Multi-Agent Systems, ArgMas 2011, held in Taipei, Taiwan in May 2011 in association with the 10th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2011).The 8 revised full papers taken from ArgMAS 2011. Also included are 5 invited papers based on presentations on argumentation at the AAMAS 2011 main conference. All together the 13 papers included in the book give a representative overview on current research on argumentation in multi-agent systems. The papers are listed alphabetically by first author within three thematic topics: foundations and theory; argumentation and dialogue; and applications.

Produktdetails

• Lecture Notes in Computer Science 7543
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 86155995, 978-3-642-33151-0
• 2012
• Seitenzahl: 244
• Erscheinungstermin: 6. September 2012
• Englisch
• Abmessung: 235mm x 155mm x 14mm
• Gewicht: 378g
• ISBN-13: 9783642331510
• ISBN-10: 3642331513
• Artikelnr.: 36186502

Inhaltsangabe

Fuzzy Labeling for Argumentation Frameworks.-ABA: Argumentation Based Agents.-Practical Argumentation Semantics for Pareto Optimality and Its Relationships with Values.-Syncretic Argumentation for Multi-agents by Lattice Homomorphism, Fusion and Sum.-A Semantics for Dynamic Argumentation Frameworks.-On the Outcomes of Multiparty Persuasion.-Arguing with Justifications between Collaborating Agents.-Reasoning about and Discussing Preferences between Arguments.-Multi-criteria Argument Selection in Persuasion Dialogues.-Argumentation Strategies for Collaborative Plan Resourcing.-Cooperative Dialogues for Defeasible Argumentation-Based Planning.-Using Argumentation to Reason with and about Trust.-Toward the Application of Argumentation to Interactive Learning Systems.