RAIL

Seventh International Workshop on
Argumentation in Multi-Agent Systems (ArgMAS 2010)

Toronto, Canada, May 10, 2010

In Conjunction with AAMAS 2010
Workshop web site:
 http://homepages.inf.ed.ac.uk/irahwan/argmas/argmas10/
ArgMAS series web site:
 http://homepages.inf.ed.ac.uk/irahwan/argmas/

Overview

This workshop will focus on the concepts, theories, methodologies, and applications of computational models of argumentation in building autonomous agents and multi-agent systems. Argumentation can be abstractly defined as the formal interaction of different arguments for and against some conclusion (eg, a proposition, an action intention, a preference, etc.). An agent may use argumentation techniques to perform individual reasoning, in order to resolve conflicting evidence or to decide between conflicting goals.   Multiple agents may also use dialectical argumentation in order to identify and reconcile differences between themselves, through interactions such as negotiation, persuasion, and joint deliberation.
The main goal of this workshop will be to bring together the community of researchers working on argumentation in multi-agent systems.

The workshop has the following technical goals:
1.    To explore the use of argumentation in practical reasoning.
2.    To investigate how argumentation can be used to enable rational interaction between autonomous agents.
3.    To explore the applicability of argumentation for solving a variety of problems in multi-agent systems, such as information exchange, negotiation, team formation, deliberation, etc.
4.    To explore strategic reasoning and behaviour in argumentation-based interaction.
5.    To understand how argumentation relates to other areas of multiagent research, such as game theory, agent communications, and planning.
6.    To present and encourage implemented systems which demonstrate the use of argumentation in multi-agent systems.

The workshop aims at bridging the gap between the vast amount of work on argumentation theory and the practical needs of multi-agent systems research.