Working Papers of the IJCAI-2013 Workshop on Weighted Logics for Artificial Intelligence
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چکیده
Quantifiers have the ability of summarizing the properties of a class of objects without enumerating them. This talk introduces a framework for modeling quantifiers in natural languages in which each linguistic quantifier is represented by a family of non-additive measures, and the truth value of a quantified proposition is evaluated by using Sugeno’s integral. Some elegant logical properties of linguistic quantifiers can be established in this framework. We will compare our measure-theoretic model of linguistic quantifiers with other approaches. We will further discuss the possible applications of linguistic quantifiers in soft CSPs (constraint satisfaction problems) and summarization of big data. The talk will be based on a series of papers (from ISMVL’86 to AIJ’06) and some ongoing works. IJCAI-13 Workshop on Weighted Logics for Artiticial Intelligence (WL4AI-2013)
منابع مشابه
Working Papers of the IJCAI - 2015 Workshop on Weighted Logics for Artificial Intelligence WL 4 AI - 2015 July 27 , 2015 Buenos Aires ( Argentina )
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تاریخ انتشار 2013