ArgMAS 2014 - 11th International Workshop on Argumentation in Multi-Agent Systems

The workshop solicits papers looking at either theory or practice, or both. In particular, 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.
Different agents within a multiagent system potentially have differential access to information and capabilities, different beliefs, different preferences and desires, and different goals and values. A key aspect of the scientific study of multiagent systems therefore is the development of methods and procedures for identifying, assessing, reconciling, and arbitrating between such differences. Market mechanisms and voting procedures are two methods for dealing with such differences. Argumentation theory is another. In recent years, formal theories of argument and argument interaction have been proposed, and this has led to the study of computational models of argument. The ArgMAS series of workshops has focused on computational argumentation within the context of agent reasoning and multiagent systems.
The workshop will be of interest to anyone studying or applying default reasoning in autonomous agents, single-agent reasoning and planning under uncertainty, strategic single-agent reasoning in the context of potential competitor actions, and the rational resolution of the different beliefs and intentions of multiple agents within multiagent systems.
Topics
We solicit papers dealing with, but not limited to, the following areas:
Computational models for argumentation
Argumentation-based decision making
Argumentation-based joint deliberation
Argumentation-based persuasion
Argumentation-based inquiry
Argumentation-based negotiation and conflict resolution
Argumentation and risk assessment
Argumentation for legal reasoning
Argumentation for electronic democracy
Argumentation for coordination, cooperation and team formation
Argumentation and game theory in multi-agent systems
Human-agent argumentation
Argumentation and preferences modelling
Strategic behaviour in argument-based dialogues
Deception, trust, reputation in argument-based interaction
Computational complexity of argumentation dialogues
Properties of argumentation dialogues (termination, success, etc.)
Hybrid argumentation-based models
Implemented argumentation-based multi-agent systems
New application areas