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Seeking after the Glitter of Intelligence in the Base Metal of Computing: The Scope and Limits of Computational Models in Researching Cognitive Phenomena

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  • Tine Kolenik

    (Jozef Stefan Institute, Department of Intelligent Systems, Ljubljana, Slovenia)

Abstract

Computational modelling has a rich history of successful use in researching cognitive phenomena. Its discoveries and applications do not seem to be stopping, yet with the rise of contemporary cognitive science paradigms, its scope and limits have been consistently put into the spotlight. The article reveals the scope of computational modelling by revealing its important role in progressing cognitive science research and helping cause important paradigm shifts as well as being useful at many levels of analysis. The limits are revealed to be some that are not easily solvable, if at all, mostly as they are not dependant on technological advancements. There are two main obstacles for computational modelling of cognitive phenomena: research bias, which manifests through the necessary presence of the designer's epistemological position as well as ideas on the mind and thus unavoidably being included in the model; and autonomy, the impenetrable basic element of living nature, which seems to make living organisms self-determine and thus create their own meaning in the world, something that seems to be unmodellable due to the designer always inputting her own meanings into the model and onto the modelled agents, which has been dubbed the PacMan Syndrome. Computational modelling is discussed in the light of these shortcomings, especially what it means to model living nature.

Suggested Citation

  • Tine Kolenik, 2018. "Seeking after the Glitter of Intelligence in the Base Metal of Computing: The Scope and Limits of Computational Models in Researching Cognitive Phenomena," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(4), pages 545-557.
    • Handle: RePEc:zna:indecs:v:16:y:2018:i:4:p:545-557
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    References listed on IDEAS

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    1. Zárate-Miñano, Rafael & Anghel, Marian & Milano, Federico, 2013. "Continuous wind speed models based on stochastic differential equations," Applied Energy, Elsevier, vol. 104(C), pages 42-49.
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    Cited by:

    1. Florian Klauser & Urban Kordes, 2018. "Loops and Recursions in Cognitive Science: Cross-Roads between Methodology and Epistemology," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(4), pages 524-532.

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    More about this item

    Keywords

    cognitive science paradigms; computational modelling; history of cognitive science; PacMan Syndrome; research bias;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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