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Types of Mimetics for the Design of Intelligent Technologies

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Human Systems Engineering and Design II (IHSED 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1026))

Abstract

Mimetic design means using a source in the natural or artificial worlds as an inspiration for technological solutions. It is based around the abstraction of the relevant operating principles in a source domain. This means that one must be able to identify the correct level of analysis and extract the relevant patterns. How this should be done is based on the type of source. From a mimetic perspective, if the design goal is intelligent technology, an obvious source of inspiration is human information processing, which we have called cognitive mimetics. This article offers some conceptual clarification on the nature of cognitive mimetics by contrasting it with biomimetics in the context of intelligent technology. We offer a two-part ontology for cognitive mimetics, suggest an approach and discuss possible implications for AI in general.

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Author information

Authors and Affiliations

  1. Cognitive Science, Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland

    Antero Karvonen, Tuomo Kujala & Pertti Saariluoma

Authors
  1. Antero Karvonen
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  2. Tuomo Kujala
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  3. Pertti Saariluoma
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Corresponding author

Correspondence to Antero Karvonen .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Department of Computer Science, Universität der Bundeswehr München, Neubiberg, Germany

    Stefan Pickl

  4. Université de Reims Champagne Ardenne, Reims Cedex 2, France

    Redha Taiar

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Karvonen, A., Kujala, T., Saariluoma, P. (2020). Types of Mimetics for the Design of Intelligent Technologies. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_7

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