Uprety, Sagar and Song, Dawei
(2018).
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Abstract
There are many examples of human decision making which cannot be modeled by classical probabilistic and logic models, on which the current AI systems are based. Hence the need for a modeling framework which can enable intelligent systems to detect and predict cognitive biases in human decisions to facilitate better human-agent interaction. We give a few examples of irrational behavior and use a generalized probabilistic model inspired by the mathematical framework of Quantum Theory to model and explain such behavior.
| Item Type: | Conference or Workshop Item | ||||||
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| Copyright Holders: | 2018 The Authors | ||||||
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| Extra Information: | Hosted by the IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence. | ||||||
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
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| Research Group: | Centre for Research in Computing (CRC) | ||||||
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| Item ID: | 57677 | ||||||
| Depositing User: | Sagar Uprety | ||||||
| Date Deposited: | 03 Dec 2018 10:20 | ||||||
| Last Modified: | 06 May 2019 16:42 | ||||||
| URI: | http://oro.open.ac.uk/id/eprint/57677 | ||||||
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