Evolving Perceptual Categories
Evolving Perceptual Categories
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不断发展的感知类别
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Cailin O’Connor
中科院分区：
文献类型：
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作者：
Cailin O’Connor
本文使用模拟最大游戏模型的感知分类的目标是回答以下问题：在多大程度上，我们应该期望的感知类别的生物演员跟踪他们周围的世界的属性？我认为，这些游戏的分析表明，现实世界的结构和进化的感知类别之间的关系是介导的成功的行动，在这个意义上说，生物体进化到分类在一起的自然状态，类似的行动导致类似的结果。这一结论表明，强实在论和强反实在论关于知觉范畴的观点都过于简单。
This article uses sim-max games to model perceptual categorization with the goal of answering the following question: To what degree should we expect the perceptual categories of biological actors to track properties of the world around them? I argue that an analysis of these games suggests that the relationship between real-world structure and evolved perceptual categories is mediated by successful action in the sense that organisms evolve to categorize together states of nature for which similar actions lead to similar results. This conclusion indicates that both strongly realist and strongly antirealist views about perceptual categories are too simple.