A1 Journal article (refereed)
Towards machines that understand people (2023)


Howes, A., Jokinen, J. P.P., & Oulasvirta, A. (2023). Towards machines that understand people. AI Magazine, 44(3), 312-327. https://doi.org/10.1002/aaai.12116


JYU authors or editors


Publication details

All authors or editorsHowes, Andrew; Jokinen, Jussi P. P.; Oulasvirta, Antti

Journal or seriesAI Magazine

ISSN0738-4602

eISSN2371-9621

Publication year2023

Publication date04/09/2023

Volume44

Issue number3

Pages range312-327

PublisherJohn Wiley & Sons

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1002/aaai.12116

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/88967


Abstract

The ability to estimate the state of a human partner is an insufficient basis on which to build cooperative agents. Also needed is an ability to predict how people adapt their behavior in response to an agent's actions. We propose a new approach based on computational rationality, which models humans based on the idea that predictions can be derived by calculating policies that are approximately optimal given human-like bounds. Computational rationality brings together reinforcement learning and cognitive modeling in pursuit of this goal, facilitating machine understanding of humans.


Keywordsartificial intelligencemachine learningcognitive processeshuman-computer interaction


Contributing organizations


Ministry reportingYes

VIRTA submission year2023

JUFO rating1


Last updated on 2024-12-10 at 17:45