Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms.

Arnon Lotem, Joseph Y Halpern
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Abstract

The evolution of cognition is frequently discussed as the evolution of cognitive abilities or the evolution of some neuronal structures in the brain. However, since such traits or abilities are often highly complex, understanding their evolution requires explaining how they could have gradually evolved through selection acting on heritable variations in simpler cognitive mechanisms. With this in mind, making use of a previously proposed theory, here, we show how the evolution of cognitive abilities can be captured by the fine-tuning of basic learning mechanisms and, in particular, chunking mechanisms. We use the term chunking broadly for all types of non-elemental learning, claiming that the process by which elements are combined into chunks and associated with other chunks, or elements, is critical for what the brain can do, and that it must be fine-tuned to ecological conditions. We discuss the relevance of this approach to studies in animal cognition, using examples from animal foraging and decision-making, problem-solving and cognitive flexibility. Finally, we explain how even the apparent human-animal gap in sequence learning ability can be explained in terms of different fine-tunings of a similar chunking process.This article is part of the Theo Murphy meeting issue 'Selection shapes diverse animal minds'.

通过学习和分块机制的适应性微调,进化出多种(和高级)认知能力。
认知的进化经常被讨论为认知能力的进化或大脑中某些神经元结构的进化。然而,由于这些特征或能力往往是高度复杂的,理解它们的进化需要解释它们是如何通过选择作用于更简单的认知机制的遗传变异而逐渐进化的。考虑到这一点,利用先前提出的理论,在这里,我们展示了如何通过基本学习机制的微调来捕捉认知能力的进化,特别是分块机制。我们将“分块”一词广泛地用于所有类型的非元素学习,声称将元素组合成块并与其他块或元素相关联的过程对大脑的功能至关重要,并且必须根据生态条件进行微调。我们以动物觅食和决策、问题解决和认知灵活性为例,讨论了这种方法与动物认知研究的相关性。最后,我们解释了人类和动物在序列学习能力上的明显差距是如何用相似分块过程的不同微调来解释的。这篇文章是西奥·墨菲会议议题“选择塑造了不同的动物思维”的一部分。
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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