Lotem Arnon, Halpern Joseph Y
School of Zoology, Tel Aviv University The George S Wise Faculty of Life Sciences, Tel Aviv, Israel.
Department of Computer Science, Cornell University, Ithaca, NY, USA.
Philos Trans R Soc Lond B Biol Sci. 2025 Jun 26;380(1929):20240117. doi: 10.1098/rstb.2024.0117.
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 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'.
认知的进化常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高度复杂,理解它们的进化需要解释它们如何通过作用于更简单认知机制中可遗传变异的选择而逐渐进化。考虑到这一点,利用之前提出的一种理论,在此我们展示了认知能力的进化如何能够通过基本学习机制,特别是组块机制的微调来体现。我们广泛地使用这个术语来指代所有类型的非元素性学习,声称元素被组合成组块并与其他组块或元素相关联的过程对于大脑的功能至关重要,并且它必须根据生态条件进行微调。我们以动物觅食、决策、解决问题和认知灵活性为例,讨论这种方法与动物认知研究的相关性。最后,我们解释了即使在序列学习能力方面明显的人类与动物的差距,也可以根据类似组块过程的不同微调来解释。本文是西奥·墨菲会议议题“选择塑造多样的动物思维”的一部分。