Argumentation in Multi-Agent Systems

During 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.