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Defining Artificial Intelligence: a reply to Wang

Published version
Peer-reviewed

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Abstract

Wang’s definition of Artificial Intelligence is developed via careful and thorough abstractions from human intelligence. Motivated by the goal of building a definition that will be genuinely useful for AI researchers, Wang ultimately provides an agent-centric definition that focuses on systems operating with insufficient knowledge and resources. The definition captures many key components of intelligence, but we suggest that task success could play a slightly larger role. This brings the definition closer in line with our use of the term with animals and human experts, and also further aligns the definition’s associated research framework with the subfield of deep reinforcement learning aimed at general intelligence.

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Keywords

46 Information and Computing Sciences, 31 Biological Sciences, 4611 Machine Learning, Neurosciences, Machine Learning and Artificial Intelligence, Basic Behavioral and Social Science, Behavioral and Social Science, 1.2 Psychological and socioeconomic processes, Mental health

Journal Title

Journal of Artificial General Intelligence

Conference Name

Journal ISSN

1946-0163
1946-0163

Volume Title

11

Publisher

De Gruyter
Sponsorship
Leverhulme Trust Grant RC-2015-067.