Download Computational Logic in Multi-Agent Systems: 8th by J. Renze Steenhuisen, Cees Witteveen, Yingqian Zhang PDF

By J. Renze Steenhuisen, Cees Witteveen, Yingqian Zhang (auth.), Fariba Sadri, Ken Satoh (eds.)

This publication constitutes the completely refereed post-conference lawsuits of the eighth overseas Workshop on Computational good judgment for Multi-Agent structures, CLIMA VIII, held in Porto, Portugal, in September 2007 - co-located with ICLP 2008, the overseas convention on good judgment Programming.

The 14 revised complete technical papers and 1 method description paper offered including 1 invited paper have been conscientiously chosen from 33 submissions and went via no less than rounds of reviewing and development. The general papers deal with subject matters comparable to interdependencies and co-ordination of task-based making plans in multi-agent platforms, period temporal good judgment, video game theoretic thoughts for reasoning approximately rational brokers, evidence thought for multi-agent epistemic good judgment, transformational semantics for evolving good judgment courses (EVOLP), programming languages in accordance with BDI types, agent orientated early requisites engineering framework, heuristic algorithms for agent negotiation, in addition to argumentation.

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Extra resources for Computational Logic in Multi-Agent Systems: 8th International Workshop, CLIMA VIII, Porto, Portugal, September 10-11, 2007. Revised Selected and Invited Papers

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By Lemma 3, we know |= ϕ iff |= I(ϕ) → reduce(ϕ). Observe that the right side does not contain the fail operator, hence it cannot distinguish between failures and inactivations. Therefore, |= I(ϕ) → reduce(ϕ) if all actions are interpreted as propositions. By doing this, I(ϕ) → reduce(ϕ) is also an ITL formula. Finally, note that the semantics of ITL and ITALF coincide for the language of ITL. B Proof of Example 1 This appendix provides an outline of the proof performed in KIV. The first steps of the proof consists of simple manipulation of the formulas in order to put them in a comfortable form for presenting the proof.

We build upon existing work on modal logic characterizations of solution concepts [13,12,3,31,32,21]. In particular, we recall how the notions of Nash equilibrium, subgame-perfect Nash equilibrium, and Pareto optimality can be characterized with ATLI formulae. Then, we show how these characterizations can be used within ATLP for reasoning about abilities and behavior of rational agents. The idea to define some strategies as plausible (or rational) is very much in the spirit of game theory. There, it is usually assumed that some solution concept is given and that agents are rational if they behave in accordance with it.

We have recently proposed an extension of alternating-time temporal logic for reasoning about behavior and abilities of agents under various rationality assumptions. The logic, called ATLP (“alternating-time temporal logic with plausibility”) used abstract, unstructured terms for addressing rationality assumptions. Here, we propose a more complex language of terms that allows to specify sets of rational strategy profiles in the object language, building upon existing work on logical characterizations of game-theoretic solution concepts.

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