Verschure, P.F.M.J. and Prescott, T.J. orcid.org/0000-0003-4927-5390 (2018) A Living Machines approach to the sciences of mind and brain. In: Prescott, T.J., Lepora, N. and Verschure, P.F.M.J., (eds.) Living machines: A handbook of research in biomimetics and biohybrid systems. Oxford University Press , pp. 15-25. ISBN 9780199674923
Abstract
How do the sciences of mind and brain—neuroscience, psychology, cognitive science, and artificial intelligence (AI)—stand in relation to each other in the 21st century? This chapter proposes that despite our knowledge expanding at ever-accelerating rates, our understanding of the relationship between mind and brain is, in some important sense, becoming less and less. An increasing explanatory gap can only be bridged by a multi-tiered and integrated theoretical framework that recognizes the value of developing explanations at different levels, combining these into cross-level integrated theories, and directly contributing to new technologies that improve the human condition. Development of technologies that instantiate principles gleaned from the study of the mind and brain, or biomimetic technologies, is a key part of the validation process for scientific theories of mind and brain. We call this strategy for the integration of science and engineering a Living Machines approach. Following this path can lead not only to better science, and useful engineering, but also a richer view of human experience and of relationships between science, engineering, and art.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Oxford University Press, 2018. |
Keywords: | paradigms in cognitive science; philosophy of science; multi-tiered theories; convergent validation; reductionism; physical models |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Apr 2023 15:35 |
Last Modified: | 19 Apr 2023 15:35 |
Status: | Published |
Publisher: | Oxford University Press |
Refereed: | Yes |
Identification Number: | 10.1093/oso/9780199674923.003.0002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198104 |