局部搜索与世界模型的演变。

IF 2.9 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Neil R Bramley, Bonan Zhao, Tadeg Quillien, Christopher G Lucas
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引用次数: 0

摘要

关于人们如何发展他们的世界模型,一个悬而未决的问题是,如何从无限多的可能性中产生新的候选人供考虑。我们讨论了进化机制在这个过程中所起的作用。具体而言,我们认为,当涉及到开发全球世界模型时,创新必然是渐进的,包括在随机的局部突变和当前模型(部分)的重组中产生和选择。我们认为,通过缩小和引导探索,认知搜索的这一特征使人类学习者能够发现更好的理论,而无需直接解决寻找“全球最优”或尽可能好的世界模型的问题。我们认为认知加工的这一方面与盲变异和选择机制如何驱动生物进化类似。我们提出为程序合成开发的算法为人类大脑如何实现这一目标提供了候选机制。我们讨论了这一观点的反对意见和含义,最后表明,在过程层面更好地理解人类如何逐步探索组成理论空间,可以揭示我们的思维方式,并为基本认知偏见提供解释性牵引,包括锚定、概率匹配和确认偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local Search and the Evolution of World Models.

An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily incremental, involving the generation and selection among random local mutations and recombinations of (parts of) one's current model. We argue that, by narrowing and guiding exploration, this feature of cognitive search is what allows human learners to discover better theories, without ever grappling directly with the problem of finding a "global optimum," or best possible world model. We suggest this aspect of cognitive processing works analogously to how blind variation and selection mechanisms drive biological evolution. We propose algorithms developed for program synthesis provide candidate mechanisms for how human minds might achieve this. We discuss objections and implications of this perspective, finally suggesting that a better process-level understanding of how humans incrementally explore compositional theory spaces can shed light on how we think, and provide explanatory traction on fundamental cognitive biases, including anchoring, probability matching, and confirmation bias.

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来源期刊
Topics in Cognitive Science
Topics in Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
8.50
自引率
10.00%
发文量
52
期刊介绍: Topics in Cognitive Science (topiCS) is an innovative new journal that covers all areas of cognitive science including cognitive modeling, cognitive neuroscience, cognitive anthropology, and cognitive science and philosophy. topiCS aims to provide a forum for: -New communities of researchers- New controversies in established areas- Debates and commentaries- Reflections and integration The publication features multiple scholarly papers dedicated to a single topic. Some of these topics will appear together in one issue, but others may appear across several issues or develop into a regular feature. Controversies or debates started in one issue may be followed up by commentaries in a later issue, etc. However, the format and origin of the topics will vary greatly.
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