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• W3084482023 abstract "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." @default.
• W3084482023 created "2020-09-21" @default.
• W3084482023 creator A5028854139 @default.
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• W3084482023 date "2020-09-01" @default.
• W3084482023 modified "2023-10-13" @default.
• W3084482023 title "Modeling a Cognitive Transition at the Origin of Cultural Evolution Using Autocatalytic Networks" @default.
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• W3084482023 doi "https://doi.org/10.1111/cogs.12878" @default.
• W3084482023 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32909644" @default.
• W3084482023 hasPublicationYear "2020" @default.
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