Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems 2007
DOI: 10.1145/1329125.1329312
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Model-based belief merging without distance measures

Abstract: Merging operators try to define the beliefs of a group of agents according to the beliefs of each member of the group. Several model-based propositional belief merging operators have been proposed which use distance measures and aggregation functions. This paper introduces the notion of Partial Satisfiability which is an alternative way of measuring the satisfaction of a formula since this notion lets us have satisfaction values in the interval [0,1]. Partial Satisfiability allows us to define model-based merg… Show more

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Cited by 6 publications
(6 citation statements)
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“…In [5] the notion of Partial Satisfiability (PS) is introduced which is a generalization of satisfiability, in which the valuation function w :…”
Section: Partial Satisfiability Mergingmentioning
confidence: 99%
See 3 more Smart Citations
“…In [5] the notion of Partial Satisfiability (PS) is introduced which is a generalization of satisfiability, in which the valuation function w :…”
Section: Partial Satisfiability Mergingmentioning
confidence: 99%
“…An alternative distance between possible worlds has been defined in [5]. This distance is based on the notion of Partial Satisfiability (PS).…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Operator. This belief merging operator is an alternative way to distance-based operators [11,16,18,25] or to syntax-based operators [2,19], as it is based on the notion of Partial Satisfiability [5]. PS-Merge produces similar results to other merging approaches, but while other approaches require many merging operators in order to achieve satisfactory results for different scenarios, this approach obtains similar results for all these different scenarios with a unique operator [24].…”
Section: Ps-mergementioning
confidence: 99%