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Algorithmic Aspects of Theory Blending

机译:理论融合的算法方面

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摘要

In Cognitive Science, conceptual blending has been proposed as an important cognitive mechanism that facilitates the creation of new concepts and ideas by constrained combination of available knowledge. It thereby provides a possible theoretical foundation for modeling high-level cognitive faculties such as the ability to understand, learn, and create new concepts and theories. This paper describes a logic-based framework which allows a formal treatment of theory blending, discusses algorithmic aspects of blending within the framework, and provides an illustrating worked out example from mathematics.
机译:在认知科学中,提出了概念融合作为一种重要的认知机制,该机制通过限制可用知识的组合来促进新概念和思想的创建。因此,它为建模高级认知能力(例如理解,学习和创建新概念和理论的能力)提供了可能的理论基础。本文介绍了一种基于逻辑的框架,该框架允许对理论混合进行形式化处理,讨论了框架内混合的算法方面,并提供了从数学中得出的例证。

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    Department of Mathematics, Universidad de los Andes, Bogota, Colombia;

    Institute of Cognitive Science, University of Osnabrueck, Osnabrueck , Germany;

    School of Informatics, University of Edinburgh, Edinburgh, Scotland, UK;

    Institute of Cognitive Science, University of Osnabrueck, Osnabrueck , Germany;

    Institute of Cognitive Science, University of Osnabrueck, Osnabrueck , Germany,Computer Science Division, Faculty of Science, Ain Shams University, Cairo, Egypt;

    Institute of Cognitive Science, University of Osnabrueck, Osnabrueck , Germany;

    Institute of Cognitive Science, University of Osnabrueck, Osnabrueck , Germany;

    Institute of Cognitive Science, University of Osnabrueck, Osnabrueck , Germany;

    School of Informatics, University of Edinburgh, Edinburgh, Scotland, UK;

    School of Computing, University of Dundee, Dundee, Scotland, UK;

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