Titlebook: Argumentation in Multi-Agent Systems; 7th International Wo Peter McBurney,Iyad Rahwan,Simon Parsons Conference proceedings 2011 Springer-Ve

對手

Peter McBurney,Iyad Rahwan,Simon Parsonsup-to-date results.fast track conference proceedings.state-of-the-art report

匍匐前進(jìn)

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/161536.jpg

廚房里面

CURT

Instrumental Rationalityd immediately contribute to realization of the goal, the goal is achievable, the means is permissible, no alternative means is preferable, and the side effects do not outweigh the benefits of achieving the goal. Its conclusion is a decision to bring about the means. The scheme can be reiterated unti

腐爛

Agreeing What to Dobecomes even more complicated when an agent is involved in a joint deliberation, as each agent will have its own preferred outcome which may change as new information is received from the other agents involved in the deliberation. We present an argumentation-based dialogue system that allows agents

現(xiàn)任者

功多汁水

Empirical Argumentation: Integrating Induction and Argumentation in MASin multiagent systems (MAS). We will first discuss inductive learning and the role argumentation plays in multiagent inductive learning. Then we focus on how inductive learning can be used to realize argumentation in MAS based on empirical grounds. We present a MAS framework for empirical argumentat