Some Properties of Aggregated Distributions over Expected Values
2008 (English)In: MICAI 2008: Advances in Artificial Intelligence: Proceedings / [ed] Alexander Gelbukh, Eduardo F. Morales, Springer Berlin/Heidelberg, 2008, 699-709 p.Conference paper (Refereed)
Software agents and humans alike face severe difficulties in making decisions in uncertain contexts. One approach is to formalise the decision situation by means of decision theory, i.e. probabilities and utilities leading to the principle of maximising the expected utility. Expected utility is here considered as a stochastic variable; under the assumption that all utility values are equally likely, and that each vector of probability values is equally likely, the probability distribution of expected utility is calculated for two, three, and four possible outcomes. The effect of these probability distributions concentrating around the middle value is explored and its significance for making decisions.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2008. 699-709 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5317
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-18637DOI: 10.1007/978-3-540-88636-5_66ISBN: 978-3-540-88635-8ISBN: 978-3-540-88636-5OAI: oai:DiVA.org:su-18637DiVA: diva2:185160
The 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008