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010   $a3-319-62214-5
024 7 $a10.1007/978-3-319-62214-9
035   $a(CKB)4340000000062809
035   $a(MiAaPQ)EBC4898708
035   $a(DE-He213)978-3-319-62214-9
035   $a(PPN)203670558
035   $a(EXLCZ)994340000000062809
100   $a20170703d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aBounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity  /$fby Joe Lorkowski, Vladik Kreinovich
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (167 pages)
225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v99
311   $a3-319-62213-7 
320   $aIncludes bibliographical references and index.
327   $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.
330   $aThis book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with ?granules? that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making ?so that they can better utilize our ability to make decisions under uncertainty.
410  0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v99
606   $aComputational intelligence
606   $aCognitive psychology
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aCognitive Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20060
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aCognitive psychology.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aCognitive Psychology.
615 24$aArtificial Intelligence.
676   $a620
700   $aLorkowski$b Joe$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064142
702   $aKreinovich$b Vladik$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299873603321
996   $aBounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity$92536615
997   $aUNINA