000 03674nam a22005535i 4500
001 978-3-319-62214-9
003 DE-He213
005 20220801221537.0
007 cr nn 008mamaa
008 170703s2018 sz | s |||| 0|eng d
020 _a9783319622149
_9978-3-319-62214-9
024 7 _a10.1007/978-3-319-62214-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aLorkowski, Joe.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956629
245 1 0 _aBounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity
_h[electronic resource] /
_cby Joe Lorkowski, Vladik Kreinovich.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aIX, 164 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v99
505 0 _aHuman Decisions Are Often Suboptimal: Phenomenon of Bounded Rationality -- Towards Explaining Other Aspects of Human Decision Making -- Towards Explaining Heuristic Techniques (Such as Fuzzy) in Expert Decision Making -- Decision Making Under Uncertainty and Restrictions on Computation Resources: From Heuristic to Optimal Techniques -- Conclusions and Future Work.
520 _aThis book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.
650 0 _aComputational intelligence.
_97716
650 0 _aCognitive psychology.
_956630
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aCognitive Psychology.
_956631
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKreinovich, Vladik.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956632
710 2 _aSpringerLink (Online service)
_956633
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319622132
776 0 8 _iPrinted edition:
_z9783319622156
776 0 8 _iPrinted edition:
_z9783319872605
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v99
_956634
856 4 0 _uhttps://doi.org/10.1007/978-3-319-62214-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79782
_d79782