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The Soft Constraints Hypothesis: A Rational Analysis Approach to Resource Allocation for Interactive Behavior

机译:软约束假设:交互式行为资源分配的理性分析方法

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摘要

Soft constraints hypothesis (SCH) is a rational analysis approach that holds that the mixture of perceptual-motor and cognitive resources allocated for interactive behavior is adjusted based on temporal cost-benefit tradeoffs. Alternative approaches maintain that cognitive resources are in some sense protected or conserved in that greater amounts of perceptual-motor effort will be expended to conserve lesser amounts of cognitive effort. One alternative, the minimum memory hypothesis (MMH), holds that people favor strategies that minimize the use of memory. SCH is compared with MMH across 3 experiments and with predictions of an Ideal Performer Model that uses ACT-R's memory system in a reinforcement learning approach that maximizes expected utility by minimizing time. Model and data support the SCH view of resource allocation; at the under 1000-ms level of analysis, mixtures of cognitive and perceptual-motor resources are adjusted based on their cost-benefit tradeoffs for interactive behavior.
机译:软约束假设(SCH)是一种合理的分析方法,它认为,分配给交互行为的知觉运动和认知资源的混合是基于时间成本收益权衡进行调整的。替代方法认为,认知资源在某种意义上受到保护或保存,因为将花费更多的感知运动努力来节省较少的认知努力。一种替代方法是最小内存假设(MMH),认为人们倾向于尽量减少内存使用的策略。在3个实验中,将SCH与MMH进行了比较,并与理想执行者模型的预测进行了比较,该模型在增强学习方法中使用了ACT-R的内存系统,从而通过最小化时间来最大化预期效用。模型和数据支持资源分配的SCH视图;在少于1000毫秒的分析水平上,基于交互行为的成本收益权衡,调整了认知和感知运动资源的混合。

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