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本文引用的文献

1
Modeling a Cognitive Transition at the Origin of Cultural Evolution Using Autocatalytic Networks.使用自催化网络对文化进化起源处的认知转变进行建模。
Cogn Sci. 2020 Sep;44(9):e12878. doi: 10.1111/cogs.12878.
2
Construction, comparison and evolution of networks in life sciences and other disciplines.生命科学及其他学科网络的构建、比较与进化。
J R Soc Interface. 2020 May;17(166):20190610. doi: 10.1098/rsif.2019.0610. Epub 2020 May 6.
3
Autocatalytic chemical networks at the origin of metabolism.自催化化学网络是新陈代谢的起源。
Proc Biol Sci. 2020 Mar 11;287(1922):20192377. doi: 10.1098/rspb.2019.2377.
4
Autocatalytic networks in biology: structural theory and algorithms.生物学中的自催化网络:结构理论与算法。
J R Soc Interface. 2019 Feb 28;16(151):20180808. doi: 10.1098/rsif.2018.0808.
5
Two cognitive transitions underlying the capacity for cultural evolution.文化进化能力背后的两种认知转变。
J Anthropol Sci. 2018 Dec 31;96:27-52. doi: 10.4436/JASS.96008. Epub 2018 Dec 1.
6
The Cultural Brain Hypothesis: How culture drives brain expansion, sociality, and life history.文化脑假说:文化如何驱动大脑扩张、社会性和生活史。
PLoS Comput Biol. 2018 Nov 8;14(11):e1006504. doi: 10.1371/journal.pcbi.1006504. eCollection 2018 Nov.
7
Palaeolithic cave art in Borneo.婆罗洲的旧石器时代洞穴艺术。
Nature. 2018 Dec;564(7735):254-257. doi: 10.1038/s41586-018-0679-9. Epub 2018 Nov 7.
8
Niche emergence as an autocatalytic process in the evolution of ecosystems.生态系统演化中的自催化过程——生态龛位形成
J Theor Biol. 2018 Oct 7;454:110-117. doi: 10.1016/j.jtbi.2018.05.038. Epub 2018 Jun 1.
9
Enquire within: cultural evolution and cognitive science.内部探究:文化进化与认知科学。
Philos Trans R Soc Lond B Biol Sci. 2018 Apr 5;373(1743). doi: 10.1098/rstb.2017.0051.
10
Generative models for network neuroscience: prospects and promise.生成模型在网络神经科学中的应用:前景与展望。
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一种使用自反性自催化网络向行为和认知现代性转变的模型。

A model of the transition to behavioural and cognitive modernity using reflexively autocatalytic networks.

作者信息

Gabora Liane, Steel Mike

机构信息

Department of Psychology, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.

Biomathematics Research Centre, University of Canterbury, Christchurch, New Zealand.

出版信息

J R Soc Interface. 2020 Oct;17(171):20200545. doi: 10.1098/rsif.2020.0545. Epub 2020 Oct 28.

DOI:10.1098/rsif.2020.0545
PMID:33109019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7653387/
Abstract

This paper proposes a model of the cognitive mechanisms underlying the transition to behavioural and cognitive modernity in the Upper Palaeolithic using autocatalytic networks. These networks have been used to model life's origins. More recently, they have been applied to the emergence of structure capable of undergoing evolution. Mental representations of knowledge and experiences play the role of catalytic molecules, the interactions among them (e.g. the forging of new associations or affordances) play the role of reactions, and thought processes are modelled as chains of these interactions. We posit that one or more genetic mutations may have allowed thought to be spontaneously tailored to the situation by modulating the degree of (i) divergence (versus convergence), (ii) abstractness (versus concreteness), and (iii) context specificity. This culminated in persistent, unified autocatalytic semantic networks that bridged previously compartmentalized knowledge and experience. We explain the model using one of the oldest-known uncontested examples of figurative art: the carving of the Hohlenstein-Stadel Löwenmensch, or lion man. The approach keeps track of where in a cultural lineage each innovation appears, and models cumulative change step by step. It paves the way for a broad scientific framework for the origins of both biological and cultural evolutionary processes.

摘要

本文提出了一个关于旧石器时代晚期向行为和认知现代性转变背后认知机制的模型,该模型使用了自催化网络。这些网络已被用于模拟生命的起源。最近,它们被应用于能够经历进化的结构的出现。知识和经验的心理表征起着催化分子的作用,它们之间的相互作用(例如新关联或可供性的形成)起着反应的作用,思维过程被建模为这些相互作用的链条。我们假定,一个或多个基因突变可能通过调节(i)发散性(与收敛性相对)、(ii)抽象性(与具体性相对)和(iii)情境特异性的程度,使思维能够自发地根据情况进行调整。这最终形成了持久、统一的自催化语义网络,连接了以前相互隔离的知识和经验。我们用已知最古老且无争议的具象艺术例子之一来解释这个模型:霍伦施泰因 - 施塔德尔狮人雕像的雕刻。该方法追踪文化谱系中每项创新出现的位置,并逐步模拟累积变化。它为生物和文化进化过程起源的广泛科学框架铺平了道路。