Types of mimetics for the design of intelligent technologies
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.
Main Authors
Format
Conferences
Conference paper
Published
2020
Series
Subjects
Publication in research information system
Publisher
Springer International Publishing
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202004292972Use this for linking
Parent publication ISBN
978-3-030-27927-1
Review status
Peer reviewed
ISSN
2194-5357
DOI
https://doi.org/10.1007/978-3-030-27928-8_7
Conference
International Conference on Human Systems Engineering and Design
Language
English
Published in
Advances in Intelligent Systems and Computing
Is part of publication
Human Systems Engineering and Design II : Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019)
Citation
- Karvonen, A., Kujala, T., & Saariluoma, P. (2020). Types of mimetics for the design of intelligent technologies. In T. Ahram, W. Karwowski, S. Pickl, & R. Taiar (Eds.), Human Systems Engineering and Design II : Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019) (pp. 40-46). Springer International Publishing. Advances in Intelligent Systems and Computing, 1026. https://doi.org/10.1007/978-3-030-27928-8_7
License
Copyright© Springer Nature Switzerland AG, 2020