Prescott, T.J. orcid.org/0000-0003-4927-5390 and Camilleri, D. (2019) The synthetic psychology of the self. In: Ferreira, M.I.A., Sequeira, J.S. and Ventura, R., (eds.) Cognitive Architectures. Intelligent Systems, Control and Automation: Science and Engineering (94). Springer Nature , pp. 85-104. ISBN 9783319975498
Abstract
Synthetic psychology describes the approach of “understanding through building” applied to the human condition. In this chapter, we consider the specific challenge of synthesizing a robot “sense of self”. Our starting hypothesis is that the human self is brought into being by the activity of a set of transient self-processes instantiated by the brain and body. We propose that we can synthesize a robot self by developing equivalent sub-systems within an integrated biomimetic cognitive architecture for a humanoid robot. We begin the chapter by motivating this work in the context of the criteria for recognizing other minds, and the challenge of benchmarking artificial intelligence against human, and conclude by describing efforts to create a sense of self for the iCub humanoid robot that has ecological, temporally-extended, interpersonal and narrative components set within a multi-layered model of mind.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Springer Nature. This is an author-produced version of a chapter subsequently published in Cognitive Architectures. Uploaded in accordance with the publisher's self-archiving policy. |
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) |
Funding Information: | Funder Grant number EU Seventh Framework Programme FP7-ICT-270490; FP7-ICT-612139 European Union - Horizon2020 HBP-SGA1, 720270 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Dec 2019 10:59 |
Last Modified: | 04 Sep 2020 00:39 |
Status: | Published |
Publisher: | Springer Nature |
Series Name: | Intelligent Systems, Control and Automation: Science and Engineering |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-97550-4_7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154065 |