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Stigmergic epistemology, stigmergic cognition

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  • Marsh, Leslie
  • Onof, Christian

Abstract

To know is to cognize, to cognize is to be a culturally bounded, rationality-bounded and environmentally located agent. Knowledge and cognition are thus dual aspects of human sociality. If social epistemology has the formation, acquisition, mediation, transmission and dissemination of knowledge in complex communities of knowers as its subject matter, then its third party character is essentially stigmergic. In its most generic formulation, stigmergy is the phenomenon of indirect communication mediated by modifications of the environment. Extending this notion one might conceive of social stigmergy as the extra-cranial analog of an artificial neural network providing epistemic structure. This paper recommends a stigmergic framework for social epistemology to account for the supposed tension between individual action, wants and beliefs and the social corpora. We also propose that the so-called ‘‘extended mind’’ thesis offers the requisite stigmergic cognitive analog to stigmergic knowledge. Stigmergy as a theory of interaction within complex systems theory is illustrated through an example that runs on a particle swarm optimization algorithm.

Suggested Citation

  • Marsh, Leslie & Onof, Christian, 2007. "Stigmergic epistemology, stigmergic cognition," MPRA Paper 10004, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:10004
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    File URL: https://mpra.ub.uni-muenchen.de/10004/1/MPRA_paper_10004.pdf
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    References listed on IDEAS

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    1. Nils A. Baas & Claus Emmeche, 1997. "On Emergence and Explanation," Working Papers 97-02-008, Santa Fe Institute.
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    Cited by:

    1. Liu, Junrong & Duan, Qihong & Ma, Wen-Xiu, 2020. "The evolution of a clogging sidewalk caused by a dockless bicycle-sharing system: A stochastic particles model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 516-526.
    2. Pazaitis, Alex & De Filippi, Primavera & Kostakis, Vasilis, 2017. "Blockchain and value systems in the sharing economy: The illustrative case of Backfeed," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 105-115.
    3. Alex Pazaitis & Primavera de Filippi & Vasilis Kostakis, 2017. "Blockchain and value systems in the sharing economy: The illustrative case of Backfeed," Post-Print hal-01676881, HAL.
    4. Chen Kai, 2019. "Value management in Blockchain technology related projects," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 194-205, May.

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    More about this item

    Keywords

    Social epistemology; Extended mind; Social cognition; Particle swarm optimization;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • B53 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Austrian
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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