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从混沌的过去中选择未来:一种基于泛化的行为模型。

Choosing a future from a murky past: A generalization-based model of behavior.

机构信息

The University of Auckland, New Zealand.

The University of Auckland, New Zealand.

出版信息

Behav Processes. 2022 Aug;200:104685. doi: 10.1016/j.beproc.2022.104685. Epub 2022 Jun 9.

Abstract

Remembering the past appears critical in allowing organisms to detect order in an environment, and hence to behave in accordance with likely future events. Yet the shortcomings of remembering and perceiving typically mean that the remembered past differs from the actual past, and hence that behavior does not perfectly track the structure of the environment. Here, we outline how the process of generalization might be used to understand differences between what an organism does, and the structure of the past and potential structure of the environment. We explore how different sources of generalization - both from within the same stimulus situation, and from different stimulus situations - might be modeled quantitatively, and how predictions made by this modeling approach are supported by research. Finally, we discuss how generalization from multiple stimulus situations, longer-term experience, and from stimulus situations in the past that are not identical to the stimulus situation in the present, might contribute to our understanding of how an organism's experience translates into behavior.

摘要

记住过去似乎对生物体在环境中检测秩序至关重要,从而使生物体能够根据可能的未来事件做出相应的行为。然而,记忆和感知的局限性通常意味着,被记住的过去与实际的过去不同,因此行为并不能完全跟踪环境的结构。在这里,我们概述了概括过程如何用于理解生物体的行为与过去的结构和环境的潜在结构之间的差异。我们探讨了不同的概括来源——既可以来自同一刺激情境,也可以来自不同的刺激情境——如何进行定量建模,以及这种建模方法的预测如何得到研究的支持。最后,我们讨论了如何从多个刺激情境、长期经验以及与当前刺激情境不相同的过去刺激情境中进行概括,这可能有助于我们理解生物体的经验如何转化为行为。

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