Cognitive costs of decision-making strategies: A resource demand decomposition analysis with a cognitive architecture
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Cognitive costs of decision-making strategies: A resource demand decomposition analysis with a cognitive architecture

机译:决策策略的认知成本:具有认知架构的资源需求分解分析

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Highlights?We decompose the cognitive effort of decision strategies using ACT-R.?Our approach determines the strategies’ time costs for using cognitive resources.?We compare the costs of the decision strategies take-the-best and tallying.?In our simulations and study, take-the-best was sometimes more costly than tallying.?This is due to costs of working memory updates, retrievals, and action coordination.AbstractSeveral theories of cognition distinguish between strategies that differ in the mental effort that their use requires. But how can the effort—or cognitive costs—associated with a strategy be conceptualized and measured? We propose an approach that decomposes the effort a strategy requires into the time costs associated with the demands for using specific cognitive resources. We refer to this approach as<
机译:<![cdata [ 亮点 我们使用Act-R分解决策策略的认知努力。 我们的方法确定策略'使用认知资源的时间成本。 我们比较决策策略的成本取得最佳和统计。 在我们的模拟和学习中,取得最好的是s比制度更昂贵。 这是由于工作内存更新,检索和行动协调的成本。 抽象 若干认知理论区分了不同的策略之间的策略他们使用的精神努力。但是如何与策略相关的努力或认知成本如何概念化和测量?我们提出了一种分解策略需要策略需要与使用特定认知资源的需求相关的时间成本的方法。我们将这种方法称为<

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