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Towards a Computational Theory of Epistemic Creativity

机译:朝向认知创造力的计算理论

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We investigate the computational process of creativity from the viewpoint of our recent thesis stating that computation is a process of knowledge generation. Rather than considering the creativity process in its full generality, we restrict ourselves to so-called epistemic creativity which deals with the processes that create knowledge. Within this domain we mainly concentrate on elementary acts of creativity - viz. drawing analogies. In order to do so using the epistemic framework, we define analogies as certain relationships among linguistic expressions and we state what knowledge must be discovered in order to resolve a given incompletely specified analogy. We assume analogies are formed in a natural language and also require that a solution of each analogy must contain an explanation why the resulting analogy holds. Finally, the difference between non-creative and creative computational processes is discussed. Our approach differs from the majority of previous approaches in stressing the knowledge discovery aspects of computational creativity, in requiring explanations in analogy solving and, last but not least, in including theory-less domains serving as knowledge base for knowledge discovery process.
机译:我们从我们最近的论文的角度调查了创造力的计算过程,指出计算是知识生成的过程。我们在完全普遍地考虑创造力过程,而不是考虑到所谓的认知创造力,而是涉及创造知识的过程。在这个领域中,我们主要专注于基本的创造力 - viz。绘图类比。为了使用本史奇框架,我们将类比定义为语言表达式之间的某些关系,我们陈述了必须发现知识,以便解决给定的未完全指定的类比。我们假设类比以自然语言形成,并且还要求每个类比的解决方案必须包含结果的类比保留的解释。最后,讨论了非创造性和创造性计算过程之间的差异。我们的方法不同于以前的大多数方法,强调了计算创造力的知识发现方面,在需要对类比解决方面的解释以及最后但并非最不重要的是,包括较易用的域名,该域名用于知识发现过程的知识库。

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