001453721 000__ 05849cam\a2200577\i\4500
001453721 001__ 1453721
001453721 003__ OCoLC
001453721 005__ 20230314003441.0
001453721 006__ m\\\\\o\\d\\\\\\\\
001453721 007__ cr\cn\nnnunnun
001453721 008__ 230113s2023\\\\sz\a\\\\o\\\\\000\0\eng\d
001453721 019__ $$a1357015852
001453721 020__ $$a9783031164156$$qelectronic book
001453721 020__ $$a3031164156$$qelectronic book
001453721 020__ $$z9783031164149
001453721 020__ $$z3031164148
001453721 0247_ $$a10.1007/978-3-031-16415-6$$2doi
001453721 035__ $$aSP(OCoLC)1356890425
001453721 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dYDX$$dEBLCP$$dOCLCQ
001453721 049__ $$aISEA
001453721 050_4 $$aHD30.23$$b.D43 2023
001453721 08204 $$a658.4/033$$223/eng/20230113
001453721 24500 $$aDecision making under uncertainty and constraints :$$ba why-book /$$cMartine Ceberio, Vladik Kreinovich, editors.
001453721 264_1 $$aCham :$$bSpringer,$$c[2023]
001453721 264_4 $$c©2023
001453721 300__ $$a1 online resource (x, 304 pages) :$$billustrations (some color).
001453721 336__ $$atext$$btxt$$2rdacontent
001453721 337__ $$acomputer$$bc$$2rdamedia
001453721 338__ $$aonline resource$$bcr$$2rdacarrier
001453721 4901_ $$aStudies in systems, decision and control ;$$vvolume 217
001453721 5050_ $$aIntro -- Preface -- Contents -- Applications to Arts -- Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- 1 Formulation of the Problem -- 2 What Is Beauty-Birkhoff's Approach and Its Algorithm-Related Formalization -- 3 How This Explains the Need for Vagueness -- 4 Why Uniqueness: An Algorithmic Explanation -- References -- Applications to Biosciences -- Selfish Gene Theory Explains Oedipus Complex -- 1 Oedipus Complex: A Brief Reminder -- 2 Our Explanation -- References -- Applications to Education
001453721 5058_ $$aHow to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- 1 Introduction -- 2 How Mathematics (And Other Disciplines) is Usually Taught: A Brief Reminder -- 3 What Verebeichik Wanted and What He Therefore Did -- 4 Let Us Summarize -- Reference -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- 1 Why 70/100 Is Satisfactory? -- 2 Why 40-40-20 Proportion for Research, Teaching, and Service: First Explanation -- 3 Why 40-40-20 Proportion for Research, Teaching, and Service: Second Explanation
001453721 5058_ $$a4 Why 50-30-20 Proportion for Research Universities: Two Explanations -- 5 Why Five Letter Grades -- 6 Why Excellent Is Usually Close to 90 -- 7 How to Allocate Grades to Tests, Homeworks, etc. -- References -- Shall We Ignore All Intermediate Grades? -- 1 Formulation of the Problem -- 2 Analysis of the Problem and the Resulting Conclusion -- Reference -- Why normal infinityinfty is a Reasonable Symbol for Infinity -- 1 Formulation of the Problem -- 2 Our Explanation -- 3 Real-Life Examples of an normal infinityinfty-Like Trajectory -- References
001453721 5058_ $$aWhat Is 1/0 from the Practical Viewpoint: A Pedagogical Note -- 1 Formulation of the Problem -- 2 Practical Problem -- 3 Idealized Setting -- 4 Realistic Setting -- Reference -- Historical Diversity Through Base-10 Representation of Mayan Math -- 1 Introduction -- 2 Base-10 Representation -- 3 Addition -- 4 Subtraction -- 5 Multiplication -- 6 Discussion -- References -- Why Base-20, Base-40, and Base-60 Number Systems? -- 1 Formulation of the Problem -- 2 Analysis of the Problem and the Resulting Explanation -- References -- Why Chomsky Normal Form: A Pedagogical Note
001453721 5058_ $$a1 Formulation of the Problem: Why Chomsky Normal Form? -- 2 Analysis of the Problem and the Resulting Explanation -- Reference -- How to Best Write Research Papers: Basic English? Sophisticated English? -- 1 Formulation of the Problem -- 2 Towards Formulating the Problem in Precise Terms -- 3 So Which Level Is Optimal: Towards the Answer -- References -- Applications to Engineering -- How to Select Typical Objects -- 1 Formulation of the Problem -- 2 Main Idea and How We Can Implement It -- 3 Resulting Algorithm -- References
001453721 506__ $$aAccess limited to authorized users.
001453721 520__ $$aThis book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation. Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religionand, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas. Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques.
001453721 650_0 $$aDecision making.
001453721 650_0 $$aDecision making$$xMathematical models.
001453721 650_0 $$aUncertainty.
001453721 655_0 $$aElectronic books.
001453721 7001_ $$aCeberio, Martine,$$eeditor.$$1https://isni.org/isni/0000000358849392
001453721 7001_ $$aKreinovich, Vladik,$$eeditor.
001453721 77608 $$iPrint version: $$z3031164148$$z9783031164149$$w(OCoLC)1338834344
001453721 830_0 $$aStudies in systems, decision and control ;$$vv. 217.
001453721 852__ $$bebk
001453721 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16415-6$$zOnline Access$$91397441.1
001453721 909CO $$ooai:library.usi.edu:1453721$$pGLOBAL_SET
001453721 980__ $$aBIB
001453721 980__ $$aEBOOK
001453721 982__ $$aEbook
001453721 983__ $$aOnline
001453721 994__ $$a92$$bISE