Computational Logic in Multi-Agent Systems: 15th by Nils Bulling, Visit Amazon's Leendert van der Torre Page,

By Nils Bulling, Visit Amazon's Leendert van der Torre Page, search results, Learn about Author Central, Leendert van der Torre, , Serena Villata, Wojtek Jamroga, Wamberto Vasconcelos

This e-book constitutes the complaints of the fifteenth foreign Workshop on Computational good judgment in Multi-Agent structures, CLIMA XV, held in Prague, Czech Republic, in August 2014.
The 12 average papers have been rigorously reviewed and chosen from 20 submissions. the aim of the CLIMA workshops is to supply a discussion board for discussing options, according to computational good judgment, for representing, programming and reasoning approximately brokers and multi-agent platforms in a proper approach. This variation will characteristic distinct periods: logics for contract applied sciences and logics for video games, strategic reasoning, and social choice.

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Additional resources for Computational Logic in Multi-Agent Systems: 15th International Workshop, CLIMA XV, Prague, Czech Republic, August 18-19, 2014. Proceedings

Example text

By C3, for each agent i involved in the assignment, there is a single contribution Ci . Given the assignment, generate Oi as f (Aj ,a)=(i,Ci ) j done(a, i). Clearly Oi respects Ci by C1. i∈G Oi is satisfiable by C2. Finally since f is an assignment, any run that satisfies i∈G Oi also satisfies η. Hence, i Oi is an implementation. Now assume that we have an implementation i∈G Oi for η = haps(A1 ; . . ; AN ). We will show how to extract an assignment f for η from it. First of all, to satisfy C3, we assign only one contribution Ci with which Oi is consistent to every i ∈ G.

The corresponding group norm will be ηφ = c1 ; . . ; ck where cj is an action corresponding to making the jth clause in φ true. Let G contain n agents, one for each propositional variable pi in φ. Each agent i has two offers. Intuitively, the offer Cit corresponds to setting pi to true and the offer Cif corresponds to setting pi to false. done(cj , i), Cif = Cit = pi ∈cj done(cj , i) ¬pi ∈cj Since we assume that each clause is unique, the agents offer to make each cj true at most once. Now assume that we have a function f that assigns to clauses pairs (i, Cit ) or (i, Cif ).

Am ) (where {a1 , . . , am } is a multiset of actions) stand for actions ‘a1 , . . , am were executed in parallel’. This is definable as (done(a1 , i1 ) ∧ . . ∧ done(am , im )) hapd(a1 . . am ) = i1 =···=im If A = {a}, we write hapd(a) for hapd(A). Moreover, hapd(∅) is defined as true. Let haps(A1 ; . . ; AN ) where each Aj is a multiset of actions connected by , stand for a sequence of parallel executions of actions in multisets Aj . This is definable as haps(A1 ; . . ; AN ) = ❣(hapd(A1 ) ∧ where each Ai is in the scope of i nested (hapd(A2 ) ∧ (.

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