A cognitive architecture theory of anticipatory thinking

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ai Magazine Pub Date : 2023-06-25 DOI:10.1002/aaai.12102

Steven J. Jones, John E. Laird

引用次数: 0

Abstract

We theorize that anticipatory thinking (AT) uses the same computational infrastructure as general cognition as described in the Common Model of Cognition. We extend the Common Model with results from research on event cognition. Using these building blocks, we present a five-step process model of AT as realized in cognitive architecture components. We then revisit simplifying assumptions underlying our model and expand our theory in response. Finally, we make predictions that are entailed by our account of AT, focusing on how computational limits in both natural and artificial cognitive systems can impact support for AT.

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预期思维的认知结构理论

我们的理论是，预期思维（AT）使用与一般认知相同的计算基础设施，如认知的共同模型中所述。我们用事件认知研究的结果对通用模型进行了扩展。利用这些构建块，我们提出了一个在认知架构组件中实现的AT的五步过程模型。然后，我们重新审视我们模型的简化假设，并扩展我们的理论作为回应。最后，我们对AT的描述进行了预测，重点关注自然和人工认知系统中的计算限制如何影响对AT的支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ai Magazine 工程技术-计算机：人工智能

CiteScore

3.90

自引率

11.10%

发文量

审稿时长

>12 weeks

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