前瞻性内容理论

IF 0.5 3区 哲学 0 PHILOSOPHY Ergo-An Open Access Journal of Philosophy Pub Date : 2022-12-28 DOI:10.3998/ergo.2238
Cameron Buckner
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引用次数: 5

摘要

在这篇文章中,我提供了一种前瞻性的心理内容自然化理论,旨在适应在哲学和认知科学中越来越受欢迎的心理预测处理方法。通过将这一观点与弗雷德·德雷茨克的信息目的论联系起来,弗雷德·德雷茨克的信息目的论是最流行的关于心理意旨的回溯式目的论。有人认为,这种向后看的观点(将心理内容的基础定位在智能体的进化或学习历史中)在归因于确定的内容和允许误解的可能性之间面临着持续的紧张关系。一种解决这种紧张关系的方法是将内容归因建立在智能体自身的能力上,通过评估预测错误来检测它何时错误地表示了世界——这反过来又允许有机体在未来更成功地表示这些内容。这就为错误表征开辟了空间,但这种空间受到代理用来评估和塑造自己的表征策略的前向认知能力的限制。通过展示如何将该理论应用于比较心理学和动物行为学科学家之间关于内容归属的解释分歧,可以说明该理论的回报。因此,这一理论提供了一个框架,在这个框架中,我们可以将内容归因于由一系列令人兴奋的认知预测方法所提出的表征,这样就解决了与上一代自然化内容理论之间持续存在的紧张关系。
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A Forward-Looking Theory of Content
In this essay, I provide a forward-looking naturalized theory of mental content designed to accommodate predictive processing approaches to the mind, which are growing in popularity in philosophy and cognitive science. The view is introduced by relating it to one of the most popular backward-looking teleosemantic theories of mental content, Fred Dretske’s informational teleosemantics. It is argued that such backward-looking views (which locate the grounds of mental content in the agent’s evolutionary or learning history) face a persistent tension between ascribing determinate contents and allowing for the possibility of misrepresentation. A way to address this tension is proposed by grounding content attributions in the agent’s own ability to detect when it has represented the world incorrectly through the assessment of prediction errors—which in turn allows the organism to more successfully represent those contents in the future. This opens up space for misrepresentation, but that space is constrained by the forward-directed epistemic capacities that the agent uses to evaluate and shape its own representational strategies. The payoff of the theory is illustrated by showing how it can be applied to interpretive disagreements over content ascriptions amongst scientists in comparative psychology and ethology. This theory thus provides a framework in which to make content attributions to representations posited by an exciting new family of predictive approaches to cognition, and in so doing addresses persistent tensions with the previous generation of naturalized theories of content.
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