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, Yuan-Fang and Green, David
(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) |
| URI | https://vuir.vu.edu.au/id/eprint/38515 |
| DOI | 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 | Historical > 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 | 7 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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