Journal article

A philosophically motivated view on AI and robotics: interview with Aaron Sloman, Honorary Professor of Artificial Intelligence and Cognitive Science, University of Birmingham, United Kingdom

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Kunze, L., & Sloman, A. (2019). A philosophically motivated view on AI and robotics: interview with Aaron Sloman, Honorary Professor of Artificial Intelligence and Cognitive Science, University of Birmingham, United Kingdom. KI - Künstliche Intelligenz, 33(4), 429–445.

MLA Style

Kunze, L., and A. Sloman. “A Philosophically Motivated View on AI and Robotics: Interview with Aaron Sloman, Honorary Professor of Artificial Intelligence and Cognitive Science, University of Birmingham, United Kingdom.” KI - Künstliche Intelligenz, vol. 33, no. 4, Springer, 2019, pp. 429–45.

Chicago Style

Kunze, L, and A Sloman. 2019. “A Philosophically Motivated View on AI and Robotics: Interview with Aaron Sloman, Honorary Professor of Artificial Intelligence and Cognitive Science, University of Birmingham, United Kingdom.” KI - Künstliche Intelligenz 33 (4): 429–45.
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Files:: kunze-sloman-kij-ai.pdf

(Preview, Accepted manuscript, 406.9KB, Terms of use)

Publisher copy:: 10.1007/s13218-019-00621-1

Authors

+ Kunze, L More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Author

+ Sloman, A More by this author

Role:: Author

Publisher:: Springer
Journal:: KI - Künstliche Intelligenz More from this journal
Volume:: 33
Issue:: 4
Pages:: 429-445
Publication date:: 2019-09-11
DOI:: 10.1007/s13218-019-00621-1
EISSN:: 1610-1987
ISSN:: 0933-1875

Language:: English
Keywords:: FFR
Pubs id:: 1123591
Local pid:: pubs:1123591
Deposit date:: 2021-01-14

Terms of use

Copyright holder:: Gesellschaft für Informatik e.V. and Springer-Verlag GmbH
Copyright date:: 2019
Rights statement:: © Gesellschaft für Informatik e.V. and Springer-Verlag GmbH Germany, part of Springer Nature 2019.
Notes:: This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/s13218-019-00621-1

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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