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How Would the World Look if It Looked as if It were Encoded as an Intertwined Set of Probability Density Distributions?

机译:如果看起来好像被编码为交织在一起的概率密度分布集,世界将如何看待?

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In the target article, Andy Clark addresses the question of how a probabilistic predictive coding model of the mind relates to our personal level mental lives. This question, he suggests, is “potentially the most important” (MS46). The question is important indeed, but Clark’s answer fails to capitalize on another possible advantage of this approach. Clark suggests that there is a disconnect between the way the world appears to us, on one hand, and the way that it is represented in the brain, on the other. He deals with this disconnect by limiting the scope of the theory, by pointing out that he is discussing a theory of how brains encode and process information, not a theory about how things seem to organisms with such brains. The shortcoming of this strategy is that there may not be a disconnect to begin with. That is, perhaps the world does appear to us as if it were “encoded as an intertwined set of probability density distributions” (MS47). If such is the case, then explanations which appeal to a probabilistic predictive model gain even more scope and power. Here I will offer a sketch of both a priori and empirical support for my claim.
机译:在目标文章中,安迪·克拉克(Andy Clark)提出了一个问题,即大脑的概率预测编码模型如何与我们个人的心理生活相关联。他认为,这个问题“可能是最重要的”(MS46)。这个问题确实很重要,但是Clark的答案未能利用这种方法的另一个可能的优势。克拉克(Clark)建议,一方面,世界对我们的出现方式与另一方面,在大脑中的呈现方式之间存在脱节。他通过限制理论的范围来解决这种脱节问题,他指出他正在讨论一种关于大脑如何编码和处理信息的理论,而不是关于事物在具有这种大脑的生物看来如何的理论。此策略的缺点是开始时可能没有断开连接。也就是说,在我们看来,世界的确好像“被编码为一组相互交织的概率密度分布”(MS47)。如果是这样的话,那么对概率预测模型有吸引力的解释将获得更大的范围和力量。在这里,我将为我的主张提供先验和经验支持的示意图。

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