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An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics

Chmait, Nader ORCID: 0000-0002-3152-382X, Dowe, DL, Li, YF and Green, DG (2017) An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics. In: AGI 2017, 15 August 2017-18 August 2017, Melbourne, Australia.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9783319637020 (print) 9783319637037 (online)
Uncontrolled Keywords: artificial agents; Item Response Theory; IRT; intelligence tests; algorithmic information-theory; artificial intelligence
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > Institute for Health and Sport
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 21 May 2019 03:14
Last Modified: 21 May 2019 03:14
URI: http://vuir.vu.edu.au/id/eprint/38515
DOI: https://doi.org/10.1007/978-3-319-63703-7_21
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Citations in Scopus: 2 - View on Scopus

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