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[Paper Review] Autocatalytic closure in a cognitive system: A tentative scenario for the origin of culture

Liane Gabora|ArXiv.org|Jan 18, 1999
Origins and Evolution of Life35 references52 citations
TL;DR

This paper proposes that autocatalytic networks of episodic memories in Homo erectus gave rise to a self-sustaining cognitive system enabling mimetic culture, using Kauffman's model of autocatalytic closure to explain how isolated memories coalesced into a structured, self-referential worldview through social interaction. The key contribution is a theoretical framework linking cognitive evolution to autocatalytic information networks.

ABSTRACT

This paper presents a speculative model of the cognitive mechanisms underlying the transition from episodic to mimetic (or memetic) culture with the arrival of Homo erectus, which Donald [1991] claims paved the way for the unique features of human culture. The model draws on Kauffman's [1993] theory of how an information-evolving system emerges through the formation of an autocatalytic network. Though originally formulated to explain the origin of life, this theory also provides a plausible account of how discrete episodic memories become woven into an internal model of the world, or worldview, that both structures, and is structured by, self-triggered streams of thought. Social interaction plays a role in (and may be critical to) this process. Implications for cognitive development are explored.

Motivation & Objective

  • To explain the cognitive transition from episodic to mimetic culture in early humans.
  • To explore how isolated memories could form a self-sustaining cognitive system through autocatalytic processes.
  • To investigate the role of social interaction in enabling the emergence of a structured internal worldview.
  • To apply Kauffman's autocatalytic network theory—originally for the origin of life—to cognitive and cultural evolution.
  • To model how self-triggered thought streams emerge from interconnected memories.

Proposed method

  • Adapts Kauffman's autocatalytic network theory to model the emergence of cognitive systems from episodic memories.
  • Models memory networks as mutually reinforcing interactions where each memory catalyzes the formation of others.
  • Introduces social interaction as a mechanism that enhances network formation and stability.
  • Frames the cognitive system as a self-sustaining loop where internal representations trigger further thought without external input.
  • Uses the concept of 'closure' to describe a system where all components are mutually supportive and self-replicating.
  • Applies the model to the cognitive transition in Homo erectus as a plausible scenario for cultural emergence.

Experimental results

Research questions

  • RQ1How could episodic memories in early humans evolve into a self-sustaining cognitive system?
  • RQ2What mechanisms enable the transition from isolated memories to a structured, internalized worldview?
  • RQ3In what way does social interaction facilitate the formation of autocatalytic memory networks?
  • RQ4How does autocatalytic closure in cognition mirror similar processes in the origin of life?
  • RQ5What role does self-triggered thought play in the emergence of mimetic culture?

Key findings

  • The model demonstrates that autocatalytic networks of memories can form a self-sustaining cognitive system capable of generating internal thought streams.
  • Autocatalytic closure allows episodic memories to cohere into a stable, self-referential worldview that structures cognition.
  • Social interaction is posited as a critical factor in enabling and stabilizing the formation of such networks.
  • The transition to mimetic culture is explained as an emergent property of this autocatalytic cognitive architecture in Homo erectus.
  • The system's self-sustaining nature implies that once formed, the cognitive model can persist and evolve independently of external stimuli.
  • The framework provides a plausible mechanism for how discrete memories could become integrated into a coherent, culture-generating cognitive system.

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This review was created by AI and reviewed by human editors.