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Cognitive Mimetics for Designing Intelligent Technologies
Joint Authors
Saariluoma, Pertti
Kujala, Tuomo
Source
Advances in Human-Computer Interaction
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Design mimetics is an important method of creation in technology design.
Here, we review design mimetics as a plausible approach to address the problem of how to design generally intelligent technology.
We argue that design mimetics can be conceptually divided into three levels based on the source of imitation.
Biomimetics focuses on the structural similarities between systems in nature and technical solutions for solving design problems.
In robotics, the sensory-motor systems of humans and animals are a source of design solutions.
At the highest level, we introduce the concept of cognitive mimetics, in which the source for imitation is human information processing.
We review and discuss some historical examples of cognitive mimetics, its potential uses, methods, levels, and current applications, and how to test its success.
We conclude by a practical example showing how cognitive mimetics can be a highly valuable complimentary approach for pattern matching and machine learning based design of artificial intelligence (AI) for solving specific human-AI interaction design problems.
American Psychological Association (APA)
Kujala, Tuomo& Saariluoma, Pertti. 2018. Cognitive Mimetics for Designing Intelligent Technologies. Advances in Human-Computer Interaction،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1117843
Modern Language Association (MLA)
Kujala, Tuomo& Saariluoma, Pertti. Cognitive Mimetics for Designing Intelligent Technologies. Advances in Human-Computer Interaction No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1117843
American Medical Association (AMA)
Kujala, Tuomo& Saariluoma, Pertti. Cognitive Mimetics for Designing Intelligent Technologies. Advances in Human-Computer Interaction. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1117843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117843