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Applying a description logic of typicality as a generative tool for concept combination in computational creativity

机译:应用典型特性的描述逻辑作为计算创造力中概念组合的生成工具

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摘要

In this work we exploit a nonmonotonic Description Logic of typicality as a tool for the generation and the exploration of novel creative concepts. Our logic, called T~(CL), is able to deal with the phenomenon of prototypical concept combination, which has been shown to be problematic to be modelled in formalisms like fuzzy logic. The logic TCL is the result of combining three main ingredients: (i) the logic of typicality ALC + T_R, that allows one to describe typical properties of a class by means of a typicality operator, (ii) the distributed semantics of probabilistic Description Logics, that allows one to provide a probability distribution over worlds/scenarios, and (iii) established heuristics used by humans for concept composition coming from the field of cognitive semantics. Our approach could be useful in many applicative scenarios, ranging from video games to the creation of new movie characters.
机译:在这项工作中,我们利用了典型的非单调描述逻辑作为代造和探索新颖创意概念的工具。 我们的逻辑称为T〜(CL),能够处理原型概念组合的现象,这已被证明是在模糊逻辑等形式主义中建模的问题。 逻辑TCL是组合三种主要成分的结果:(i)典型的ALC + T_R的逻辑,其允许一个通过典型的算子来描述类的典型特性,(ii)概率描述逻辑的分布式语义 ,这允许人们提供对世界/场景的概率分布,(III)为人类使用的概念构成来源于认知语义领域。 我们的方法可以在许多应用方案中有用,从视频游戏到创建新电影角色。

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