
By Cristian Gratie, Adina Magda Florea (auth.), Peter McBurney, Simon Parsons, Iyad Rahwan (eds.)
This booklet constitutes the completely reviewed post-proceedings of the eighth foreign Workshop on Argumentation in Multi-Agent platforms, ArgMas 2011, held in Taipei, Taiwan in might 2011 in organization with the tenth foreign convention on self reliant brokers and Multi-Agent platforms (AAMAS 2011). The eight revised complete papers taken from ArgMAS 2011. additionally incorporated are five invited papers in accordance with displays on argumentation on the AAMAS 2011 major convention. All jointly the thirteen papers integrated within the publication supply a consultant review on present learn on argumentation in multi-agent platforms. The papers are indexed alphabetically by way of first writer inside of 3 thematic themes: foundations and conception; argumentation and discussion; and applications.
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Extra info for Argumentation in Multi-Agent Systems: 8th International Workshop, ArgMAS 2011, Taipei, Taiwan, May 3, 2011, Revised Selected Papers
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Restriction is defined as follows. Definition 14. Let P RAF =< Args, Agents, Def eat > be a practical argumentation framework. The restriction of P RAF to S ⊆ Args is the practical argumentation framework P RAF ↓S =< S, Agents, Def eat > where Def eat (i) = Def eat(i) ∩ (S × S) for all i ∈ Agents. Consider the set P args = {A, B, C, D, E, F } of practical arguments and the set T args = {G, H} of theoretical arguments. Each argument states that we ought to buy apartment ‘a’ because it is located in a safe area, denoted by an argument A, we ought to buy apartment ‘b’ because it is quiet and it has good access to transportation, by B, we ought to buy apartment ‘c’ because it has good access to transportation, by C, we ought not to buy ‘a’ because it is beyond the budget, by D, we ought not to buy ‘b’ because it is beyond the budget and Practical Argumentation Semantics for Pareto Optimality 41 located in a unsafe area, by E, we ought not to buy ‘c’ because it does not have sufficient sunlight, by F , ‘b’ is not located in a safe area because an airstrip is now under construction in that area, by G, and we can buy ‘a’ within the budget because the real estate gives us discount, by H.
In this section we define such desirable properties and indicate how we can design ABA agents (in particular their IAC theories) that would satisfy them. Property 1. e. t. the policy in its module in the world state V ), is called a strongly sound agent. A strongly sound agent is therefore one whose decisions are not only optimal at the time that they are taken but remain optimal at any subsequent situation where its view of the world may have changed. It is easy to see that we can build such ABA agents by fixing their cautiousness at the highest level and designing their IAC to abandon decisions as soon as their commitment level falls below level 4 in the course of action and the passage of time.
Consider following abstract argumentation framework AF and practical argumentation framework P RAF . AF = < T args ∪ P args, def eat > P RAF = < P args, Agents, Def eat > The preferred extension, and the grounded extension as well, of AF is {A, C, E, F, G, H}. Moreover, the preferred extensions of P RAF to {i, j} are {A, E, F } and {C, D, E}, and the grounded extension of P RAF to {i, j} is {E}. The following is a justified practical argumentation framework with respect to AF obtained by restricting P RAF to {A, C, E, F }.