基于反事实的创新:创造性思维的伽罗瓦晶格方法

C. Tijus, S. Poitrenaud, Laure Léger, P. Brézillon
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引用次数: 3

摘要

反事实推理是模态推理的一种形式,关于事物可能是(曾经是,将要是)的方式,与关于事物实际是(曾经是)的方式的推理相反。这种形式的推理是难以捉摸的,并提供推理偏差。然而,在提倡人们使用事实类别进行推理的认知科学理论框架中,反事实作为类别反事实,被视为事实类别的同等水平的附带补充类别,为不同于类比思维和基于案例的理论的创新过程提供了基础。建模展示了如何使用伽罗瓦格和上下文图实现创新解决方案的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Counterfactual Based Innovation: A Galois Lattice Approach of Creative Thinking
Counterfactual reasoning is a form of modal reasoning about the way things could be (have been, would be) in contrast to reasoning about the way things actually are (were). This form of reasoning is elusive and provides reasoning bias. However, in the framework of a cognitive science theory that advocate that people reason using factual categories, counterfactuals being category counterfactuals, seen as same level collateral complementary categories of the factual category, provide a basis for innovation processes that differs from analogical thinking and case-based theory. The modeling shows how to implement tools for innovative solutions using Galois lattices and contextual graphs.
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