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Titlebook: Computational Logic in Multi-Agent Systems; 15th International W Nils Bulling,Leendert Torre,Wamberto Vasconcelos Conference proceedings 20

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楼主: Aggrief
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Synthesis and Verification of Uniform Strategies for Multi-agent Systemss arguably most appropriate when it comes to modeling and specification of multi-agent systems. The related variant of model checking is known to be theoretically hard (.- to .-complete, depending on the assumptions), but virtually no . attempts at it have been proposed so far. Our algorithm searche
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https://doi.org/10.1007/978-3-319-18944-4 cases the upper complexity bounds established for the single-agent cases are maintained: these logics’ derivability problem is in the second step of the polynomial hierarchy. For certain logics, though, we discover a complexity jump to PSPACE-completeness, which is a new phenomenon for Justification Logic.
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0302-9743 ague, Czech Republic, in August 2014..The 12 regular papers were carefully reviewed and selected from 20 submissions. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, programming and reasoning about agents and multi-a
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Fair Allocation of Group Tasks According to Social Normsto distribute individual responsibility for discharging the group norm in a ‘fair’ or ‘equitable’ way. We propose a simple language for this kind of fairness constraints and analyse the problem of computing a fair decomposition of a group obligation, both for non-repeating and for repeating group obligations.
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Enumerating Extensions on Random Abstract-AFs with ArgTools, Aspartix, ConArg2, and Dung-O-Maticver networks with different topologies (including small-world ones): we scale the number of arguments to check the limits of today’s systems. Such results can be used to guide further improvements, specifically ConArg2, which we recently developed, and tested for the first time in this work.
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Empirical Evaluation of Strategies for Multiparty Argumentative Debatesuments. In this paper, we experimentally test a number of strategies based on target sets, and we evaluate them with respect to different criteria, as the length of the debate, the happiness of the agents, and the rationality of the result.
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Synthesis and Verification of Uniform Strategies for Multi-agent Systemss through the set of possible uniform strategies, utilizing a simple reduction technique. In consequence, it not only verifies existence of a suitable strategy but also produces one (if it exists). We validate the algorithm experimentally on a simple scalable class of models, with promising results.
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