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

Full text for this resource is not available from the Research Repository.

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.

Dimensions Badge

Altmetric Badge

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

Search Google Scholar

Repository staff login