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When Quantum Mechanics Interacts with Cognitive Science

机译:量子力学与认知科学的相互作用

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I reflect on several aspects of the general claim that a quantum-like approach to Cognitive Science is advantageous over classical approaches. The classical approaches refer to the symbolic approaches including models using a classical (Kolmogorov) probability calculus. The general claim seems to be right from a descriptive viewpoint but not necessarily from an explanatory viewpoint. The explanatory perspective needs a more careful analysis since adding some additional arbitrary parameters (such as phase shift parameters in quantum probabilities) does not automatically increase the explanatory value of the approach; rather, it seems to decrease it. I argue further that there is another class of traditional models – the class of geometric models of cognition. These models have a much longer tradition than the symbolic models. Interestingly, quantum mechanics does not contradict the geometric models. Hence, real progress at the meeting between quantum mechanics and cognitive science could be made by unifying these geometric models with ideas from quantum theory.
机译:我对一般性主张的几个方面进行了反思,即类似量子论的认知科学方法优于经典方法。经典方法是指符号方法,包括使用经典(Kolmogorov)概率演算的模型。从描述的观点来看,一般的主张似乎是正确的,但从解释的观点来看,不一定是正确的。解释性观点需要更仔细的分析,因为添加一些其他任意参数(例如量子概率中的相移参数)不会自动增加方法的解释性值;相反,它似乎减少了它。我进一步指出,还有另一类传统模型–认知几何模型。这些模型比符号模型具有更长的传统。有趣的是,量子力学与几何模型并不矛盾。因此,通过将这些几何模型与量子理论的思想统一起来,可以在量子力学和认知科学之间的会议上取得真正的进步。

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