Some properties of aggregated distributions over expected values
2008 (English)In: / [ed] Gelbukh A., Morales E.F., Berlin: Springer Verlag , 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
Berlin: Springer Verlag , 2008. 699-709 p.
, Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 5317
IdentifiersURN: urn:nbn:se:kth:diva-7341DOI: 10.1007/978-3-540-88636-5_66ISI: 000261873400066ScopusID: 2-s2.0-57049112574ISBN: 978-3-540-88635-8OAI: oai:DiVA.org:kth-7341DiVA: diva2:12326
7th Mexican International Conference on Artificial Intelligence (MICAI 2008) Atizapan de Zaragoza, MEXICO, OCT 27-31, 2008
QC 201011172007-06-182007-06-182014-10-28Bibliographically approved