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Mapping Intelligence: Requirements and Possibilities

Authors

Sankalp Bhatnagar

Anna Alexandrova

Shahar Avin

Stephen Cave

Lucy Cheke

Matthew Crosby

Jan Feyereisl

Marta Halina

Bao Sheng Loe

Fernando

Huw Price

Henry Shevlin

Adrian Weller



Contributors

Vincent C.
Editor

Abstract

© Springer Nature Switzerland AG 2018. New types of artificial intelligence (AI), from cognitive assistants to social robots, are challenging meaningful comparison with other kinds of intelligence. How can such intelligent systems be catalogued, evaluated, and contrasted, with representations and projections that offer meaningful insights? To catalyse the research in AI and the future of cognition, we present the motivation, requirements and possibilities for an atlas of intelligence: an integrated framework and collaborative open repository for collecting and exhibiting information of all kinds of intelligence, including humans, non-human animals, AI systems, hybrids and collectives thereof. After presenting this initiative, we review related efforts and present the requirements of such a framework. We survey existing visualisations and representations, and discuss which criteria of inclusion should be used to configure an atlas of intelligence.

Citation

Bhatnagar, S., Alexandrova, A., Avin, S., Cave, S., Cheke, L., Crosby, M., …Hernández-Orallo, J. (2018). Mapping Intelligence: Requirements and Possibilities. In V. C. Müller (Ed.), Philosophy and Theory of Artificial Intelligence 2017 (PT-AI 2017) (117-135). Springer, Cham. https://doi.org/10.1007/978-3-319-96448-5_13

Publication Date Jan 1, 2018
Journal Studies in Applied Philosophy, Epistemology and Rational Ethics
Print ISSN 2192-6255
Electronic ISSN 2192-6263
Peer Reviewed Peer Reviewed
Volume 44
Pages 117-135
Series Title Studies in Applied Philosophy, Epistemology and Rational Ethics
Series Number 44
Book Title Philosophy and Theory of Artificial Intelligence 2017 (PT-AI 2017)
ISBN 9783319964478
DOI https://doi.org/10.1007/978-3-319-96448-5_13
Keywords artificial intelligence, AI
Public URL https://uwe-repository.worktribe.com/output/862316
Publisher URL http://dx.doi.org/10.1007/978-3-319-96448-5_13

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