• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用自催化网络对文化进化起源处的认知转变进行建模。

Modeling a Cognitive Transition at the Origin of Cultural Evolution Using Autocatalytic Networks.

机构信息

Department of Psychology, University of British Columbia.

Biomathematics Research Centre, University of Canterbury.

出版信息

Cogn Sci. 2020 Sep;44(9):e12878. doi: 10.1111/cogs.12878.

DOI:10.1111/cogs.12878
PMID:32909644
Abstract

Autocatalytic networks have been used to model the emergence of self-organizing structure capable of sustaining life and undergoing biological evolution. Here, we model the emergence of cognitive structure capable of undergoing cultural evolution. Mental representations (MRs) of knowledge and experiences play the role of catalytic molecules, and interactions among them (e.g., the forging of new associations) play the role of reactions and result in representational redescription. The approach tags MRs with their source, that is, whether they were acquired through social learning, individual learning (of pre-existing information), or creative thought (resulting in the generation of new information). This makes it possible to model how cognitive structure emerges and to trace lineages of cumulative culture step by step. We develop a formal representation of the cultural transition from Oldowan to Acheulean tool technology using Reflexively Autocatalytic and Food set generated (RAF) networks. Unlike more primitive Oldowan stone tools, the Acheulean hand axe required not only the capacity to envision and bring into being something that did not yet exist, but hierarchically structured thought and action, and the generation of new MRs: the concepts EDGING, THINNING, SHAPING, and a meta-concept, HAND AXE. We show how this constituted a key transition toward the emergence of semantic networks that were self-organizing, self-sustaining, and autocatalytic, and we discuss how such networks replicated through social interaction. The model provides a promising approach to unraveling one of the greatest anthropological mysteries: that of why development of the Acheulean hand axe was followed by over a million years of cultural stasis.

摘要

自催化网络已被用于模拟能够维持生命并经历生物进化的自组织结构的出现。在这里,我们模拟能够经历文化进化的认知结构的出现。知识和经验的心理表象 (MR) 充当催化分子的作用,它们之间的相互作用(例如,形成新的联想)充当反应的作用,并导致表象重述。该方法为 MR 打上来源标签,即它们是通过社会学习、个体学习(已有信息的学习)还是创造性思维(导致新信息的产生)获得的。这使得能够模拟认知结构是如何出现的,并逐步追踪累积文化的谱系。我们使用 Reflexively Autocatalytic and Food set generated (RAF) 网络为从旧石器时代到阿舍利石器技术的文化转变建立了正式的表示。与更原始的旧石器时代石器不同,阿舍利手斧不仅需要想象和创造尚未存在的东西的能力,还需要层次结构的思维和行动,以及新的 MR 的产生:EDGING、THINNING、SHAPING 的概念,以及一个元概念,HAND AXE。我们展示了这如何构成向自组织、自我维持和自催化的语义网络出现的关键转变,我们还讨论了这些网络如何通过社会互动复制。该模型为解开最大的人类学之谜之一提供了一个有前途的方法:为什么阿舍利手斧的发展之后会有超过一百万年的文化停滞。

相似文献

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
An Autocatalytic Network Model of Conceptual Change.概念转变的自催化网络模型。
Top Cogn Sci. 2022 Jan;14(1):163-188. doi: 10.1111/tops.12583. Epub 2021 Nov 21.
3
A model of the transition to behavioural and cognitive modernity using reflexively autocatalytic networks.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。
J R Soc Interface. 2020 Oct;17(171):20200545. doi: 10.1098/rsif.2020.0545. Epub 2020 Oct 28.
4
Autocatalytic networks in cognition and the origin of culture.认知中的自催化网络与文化的起源
J Theor Biol. 2017 Oct 27;431:87-95. doi: 10.1016/j.jtbi.2017.07.022. Epub 2017 Jul 25.
5
A Dynamic Autocatalytic Network Model of Therapeutic Change.治疗变化的动态自催化网络模型
Entropy (Basel). 2022 Apr 13;24(4):547. doi: 10.3390/e24040547.
6
Self-generating autocatalytic networks: structural results, algorithms and their relevance to early biochemistry.自生成自催化网络:结构结果、算法及其与早期生物化学的相关性。
J R Soc Interface. 2024 May;21(214):20230732. doi: 10.1098/rsif.2023.0732. Epub 2024 May 22.
7
An evolutionary process without variation and selection.没有变异和选择的进化过程。
J R Soc Interface. 2021 Jul;18(180):20210334. doi: 10.1098/rsif.2021.0334. Epub 2021 Jul 28.
8
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.
9
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.
10
Modeling Discontinuous Cultural Evolution: The Impact of Cross-Domain Transfer.模拟不连续的文化进化:跨领域转移的影响。
Front Psychol. 2022 Feb 24;13:786072. doi: 10.3389/fpsyg.2022.786072. eCollection 2022.

引用本文的文献

1
Cultural traits operating in senders are driving forces of cultural evolution.在传播者中起作用的文化特质是文化进化的驱动力。
Proc Biol Sci. 2024 Mar 13;291(2018):20232110. doi: 10.1098/rspb.2023.2110.
2
Beyond two modes of thought: A quantum model of how three cognitive variables yield conceptual change.超越两种思维模式:关于三个认知变量如何产生概念变化的量子模型。
Front Psychol. 2022 Sep 27;13:905446. doi: 10.3389/fpsyg.2022.905446. eCollection 2022.
3
A Dynamic Autocatalytic Network Model of Therapeutic Change.治疗变化的动态自催化网络模型
Entropy (Basel). 2022 Apr 13;24(4):547. doi: 10.3390/e24040547.
4
Modeling Discontinuous Cultural Evolution: The Impact of Cross-Domain Transfer.模拟不连续的文化进化:跨领域转移的影响。
Front Psychol. 2022 Feb 24;13:786072. doi: 10.3389/fpsyg.2022.786072. eCollection 2022.
5
An evolutionary process without variation and selection.没有变异和选择的进化过程。
J R Soc Interface. 2021 Jul;18(180):20210334. doi: 10.1098/rsif.2021.0334. Epub 2021 Jul 28.
6
A model of the transition to behavioural and cognitive modernity using reflexively autocatalytic networks.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。
J R Soc Interface. 2020 Oct;17(171):20200545. doi: 10.1098/rsif.2020.0545. Epub 2020 Oct 28.