Acting irrationally to improve performance in stochastic worlds
Belavkin, Roman V. 
ORCID: https://orcid.org/0000-0002-2356-1447
(2005)
Acting irrationally to improve performance in stochastic worlds.
In: 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, 2005, Cambridge, UK.
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Abstract
Despite many theories and alogorithms for decision-making, after estimating the utility function the choice is usually made by maximising its expected value (the max EU principle). This traditional and 'rational' conclusion of the decision-making process is compared in this paper with several 'irrational' techniques that make choice in Monte-Carlo fashion. The comparison is made by evaluating the performance of simple decision-theoretic agents in stochastic environments. It is shown that not only the random choice strategies can achieve performance comparable to the max EU method, but under certain conditions the Monte-Carlo choice methods perform almost two times better than the max EU. The paper concludes by quoting evidence from recent cognitive modelling works as well as the famous decision-making paradoxes.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
| ISI Impact: | 0 |
| Item ID: | 6 |
| Useful Links: | |
| Depositing User: | Repository team |
| Date Deposited: | 08 Sep 2008 11:13 |
| Last Modified: | 30 Nov 2022 02:22 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/6 |
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