LEADER 03616nam 22005655 450 001 9910640379403321 005 20251113205722.0 010 $a3-031-16415-6 024 7 $a10.1007/978-3-031-16415-6 035 $a(MiAaPQ)EBC7168724 035 $a(Au-PeEL)EBL7168724 035 $a(DE-He213)978-3-031-16415-6 035 $a(PPN)267809182 035 $a(CKB)25945667000041 035 $a(EXLCZ)9925945667000041 100 $a20230103d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDecision Making Under Uncertainty and Constraints $eA Why-Book /$fedited by Martine Ceberio, Vladik Kreinovich 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (x, 304 pages) $cillustrations (some color) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v217 300 $aIncludes index. 311 08$aPrint version: Ceberio, Martine Decision Making under Uncertainty and Constraints Cham : Springer International Publishing AG,c2023 9783031164149 327 $aBaudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- Selfish Gene Theory Explains Oedipus Complex -- How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- Shall We Ignore All Intermediate Grades? -- Why ? is a Reasonable Symbol for Infinity -- What is 1/0 from the Practical Viewpoint: A Pedagogical Note -- Historical Diversity Through base-10 Representation of Mayan Maths. 330 $aThis book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation. Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religion?and, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas. Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v217 606 $aAutomatic control 606 $aArtificial intelligence 606 $aControl and Systems Theory 606 $aArtificial Intelligence 615 0$aAutomatic control. 615 0$aArtificial intelligence. 615 14$aControl and Systems Theory. 615 24$aArtificial Intelligence. 676 $a327.120971 676 $a658.4033 702 $aCeberio$b Martine 702 $aKreinovich$b Vladik 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910640379403321 996 $aDecision making under uncertainty and constraints$93364348 997 $aUNINA