首页> 外文会议>Proceedings of the 14th IASTED international symposium on Intelligent Systems and Control >MODELING THE AHA! MOMENT: A COMPUTATIONAL MECHANISM FOR STRUCTURING AND INCUBATION IN CREATIVE PROBLEM SOLVING
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MODELING THE AHA! MOMENT: A COMPUTATIONAL MECHANISM FOR STRUCTURING AND INCUBATION IN CREATIVE PROBLEM SOLVING

机译:模拟AHA!时刻:创造性问题解决中结构化和孵化的一种计算机制

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The underlying mechanisms giving rise to insightfulrnproblem solving are largely unknown, although modelsrnhave been proposed that suggest phases of incubation,rnrestructuring, and insight. Here, we propose a singlerncomputational mechanism that models the dynamics ofrnstructuring percepts to create an internal beliefrnrepresentation and subsequent restructuring of that beliefrnrepresentation, in which evidence for restructuring arnrepresentation is accumulated through trial-and-errorrnattempts to solve the problem. Restructuring gives rise torna macroscopically observable incubation period followedrnby sudden emergence of a solution. The computationalrnmechanism is evaluated through modeling of the nine-dotrnproblem, a classic insight problem. Evidence supportingrnthe notion of partial reward, a key concept in therncomputational mechanism, is observed in the progressionrnto a solution of subjects engaged in the nine dot problem.rnThe results of the model show that complex, high-levelrncognitive processes may emerge from simple underlyingrncomputational mechanisms.
机译:尽管提出了暗示孵化,重组和洞察力阶段的模型,但引起洞察力解决问题的潜在机制在很大程度上尚不清楚。在这里,我们提出了一种单一的计算机制,该模型对结构化感知的动力学进行建模以创建内部信念表示并随后对该信念表示进行重构,其中通过反复尝试来积累重组重构的证据,以解决问题。重组产生了肉眼可观察到的潜伏期,随后突然出现了溶液。通过对九点问题(典型的洞察力问题)进行建模来评估计算机制。在解决涉及九点问题的受试者的过程中,观察到了支持部分奖励概念的证据,部分奖励是计算机制的关键概念。模型的结果表明,复杂的,高水平的认知过程可能来自简单的基础计算机制。

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