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

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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.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/38515
Identification Number https://doi.org/10.1007/978-3-319-63703-7_21
Official URL https://link.springer.com/chapter/10.1007%2F978-3-...
ISBN 9783319637020 (print) 9783319637037 (online)
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Health and Sport
Keywords artificial agents; Item Response Theory; IRT; intelligence tests; algorithmic information-theory; artificial intelligence
Citations in Scopus 4 - View on Scopus
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