0436371 20240103205212.420150107235959.9 202 36 s. P cav_un_epca*0436370978-3-319-15143-457-92ChamSpringer2014GuyTatiana V.KárnýMiroslavWolpertDavid H. Bayesian decision making non-rationality fully probabilistic design of decision strategies deliberation effort cav_un_auth*0101124 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 50 Kárný Miroslav UTIA-B K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 50 Guy Tatiana Valentine UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/AS/karny-0436371.pdf cav_un_auth*0292725 GA13-13502S GA ČR Decision making (DM) is a preferences-driven choice among available actions. Under uncertainty, Savage’s axiomatisation singles out Bayesian DM as the adequate normative framework. It constructs strategies generating the optimal actions, while assuming that the decision maker rationally tries to meet her preferences. Descriptive DMt heories have observed numerous deviations of the real DM from normative recommendations. The explanation of decision-makers’ imperfection or non-rationality, possibly followed by rectification, is the focal point of contemporary DM research. This chapter falls into this stream and claims that the neglecting a part of the behaviour of the closed DM loop is the major cause of these deviations. BB 2015 2 RVO:67985556 http://hdl.handle.net/11104/0242039 S 2014 cav_un_epca*0436370 Decision Making: Uncertainty, Imperfection, Deliberation and Scalability 978-3-319-15143-4 57 92 Cham Springer 2014 Studies in Computational Intelligence 538 Guy Tatiana V. 340 Kárný Miroslav 340 Wolpert David H. 340