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Learning and open data in sustainability transitions: evolutionary implications of the theory of probabilistic functionalism

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  • Masaru Yarime

    (City University of Hong Kong
    University College London
    University of Tokyo)

Abstract

The Theory of Probabilistic Functionalism, as a general theory of how organisms interact with complex environmental systems, provides a useful framework for describing essential processes of sustainability planning groups. Particularly, the mechanism of producing evolutionary stable representations of and judgment about the environment has important implications for sustainability transitions. In comparison with biological evolution, the environment changes much faster in social phenomena, and the selection dynamics working on heterogeneous groups for successful survival would be incomplete. That makes continuous learning by the members of planning groups as well as collective decision-making among them critically important. The policy of open data for assembling, distributing, and utilizing various kinds of data will facilitate vision creation, strategy development, and consensus building with stakeholders for sustainability transitions.

Suggested Citation

  • Masaru Yarime, 2018. "Learning and open data in sustainability transitions: evolutionary implications of the theory of probabilistic functionalism," Environment Systems and Decisions, Springer, vol. 38(1), pages 88-91, March.
    • Handle: RePEc:spr:envsyd:v:38:y:2018:i:1:d:10.1007_s10669-017-9668-z
    DOI: 10.1007/s10669-017-9668-z
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    References listed on IDEAS

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    1. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    2. Roland W. Scholz, 2017. "Managing complexity: from visual perception to sustainable transitions—contributions of Brunswik’s Theory of Probabilistic Functionalism," Environment Systems and Decisions, Springer, vol. 37(4), pages 381-409, December.
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    Cited by:

    1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2018. "Resilience, sustainability, and complexity in social, environmental, and technical systems," Environment Systems and Decisions, Springer, vol. 38(1), pages 1-2, March.
    2. Roland W. Scholz, 2018. "Ways and modes of utilizing Brunswik’s Theory of Probabilistic Functionalism: new perspectives for decision and sustainability research?," Environment Systems and Decisions, Springer, vol. 38(1), pages 99-117, March.
    3. Scholz, Roland W. & Zscheischler, Jana & Köckler, Heike & Czichos, Reiner & Hofmann, Klaus-Markus & Sindermann, Cornelia, 2024. "Transdisciplinary knowledge integration – PART I: Theoretical foundations and an organizational structure," Technological Forecasting and Social Change, Elsevier, vol. 202(C).

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