001435235 000__ 04779cam\a2200529\a\4500 001435235 001__ 1435235 001435235 003__ OCoLC 001435235 005__ 20230309003843.0 001435235 006__ m\\\\\o\\d\\\\\\\\ 001435235 007__ cr\un\nnnunnun 001435235 008__ 210327s2021\\\\sz\\\\\\o\\\\\000\0\eng\d 001435235 020__ $$a9783030653248$$q(electronic bk.) 001435235 020__ $$a3030653242$$q(electronic bk.) 001435235 020__ $$z9783030653231 001435235 0247_ $$a10.1007/978-3-030-65324-8$$2doi 001435235 035__ $$aSP(OCoLC)1243550106 001435235 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dUKAHL$$dVLB$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCO$$dOCLCQ 001435235 049__ $$aISEA 001435235 050_4 $$aQ375$$b.H69 2021eb 001435235 08204 $$a003/.54$$223 001435235 24500 $$aHow uncertainty-related ideas can provide theoretical explanation for empirical dependencies /$$cMartine Ceberio, Vladik Kreinovich, editors. 001435235 264_1 $$aCham :$$bSpringer,$$c2021. 001435235 264_4 $$c©2021 001435235 300__ $$a1 online resource (x, 151 pages) 001435235 336__ $$atext$$btxt$$2rdacontent 001435235 337__ $$acomputer$$bc$$2rdamedia 001435235 338__ $$aonline resource$$bcr$$2rdacarrier 001435235 4901_ $$aStudies in Systems, Decision and Control ;$$vv. 306 001435235 50500 $$tStatus Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account: An Explanation --$$tA Natural Explanation for the Minimum Entropy Production Principle --$$tWhy Class-D Audio Amplifiers Work Well: A Theoretical Explanation --$$tWhy Immediate Repetition Is Good for Short-Time Learning Results but Bad for Long-Time Learning: Explanation Based on Decision Theory --$$tAbsence of Remotely Triggered Large Earthquakes: A Geometric Explanation --$$tWhy Gamma Distribution of Seismic Inter-Event Times: A Theoretical Explanation --$$tQuantum Computing as a Particular Case of Computing with Tensors --$$tA "Fuzzy" Like Button Can Decrease Echo Chamber Effect --$$tIntuitive Idea of Implication Versus Formal Definition: How to Define the Corresponding Degree --$$tDimension Compactification-A Possible Explanation for Superclusters and for Empirical Evidence Usually Interpreted as Dark Matter --$$tFundamental Properties of Pair-Wise Interactions Naturally Lead to Quarks and Quark Confinement: A Theorem Motivated by Neural Universal Approximation Results --$$tLinear Neural Networks Revisited: From PageRank to Family Happiness --$$tWhy 3 Basic Colors? Why 4 Basic Tastes? --$$tWhat Segments Are the Best in Representing Contours? --$$tStrength of Lime Stabilized Pavement Materials: Possible Theoretical Explanation of Empirical Dependencies --$$tTowards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time --$$tA Recent Result About Random Metric Spaces Explains Why All of Us Have Similar Learning Potential --$$tFinitely Generated Sets of Fuzzy Values: If "And" Is Exact, Then "Or" Is Almost Always Approximate, and Vice Versa---A Theorem --$$tFuzzy Logic Explains the Usual Choice of Logical Operations in 2-Valued Logic. 001435235 506__ $$aAccess limited to authorized users. 001435235 520__ $$aThis book shows how to provide uncertainty-related theoretical justification for empirical dependencies, on the examples from numerous application areas. Such justifications are needed, since without them, practitioners may be reluctant to use these dependencies: purely empirical formulas often turn out to hold only in some cases. Examples of new theoretical explanations range from fundamental physics (quark confinement, galaxy superclusters, etc.) and geophysics (earthquake analysis) to transportation and electrical engineering to computer science (image processing, quantum computing) and pedagogy (equity, effect of repetitions). The book is useful to students and specialists in the corresponding areas. Most of the examples use common general techniques, so the book is also useful to practitioners and researchers in other application areas who look for ways to provide theoretical justifications for their areas empirical dependencies. 001435235 588__ $$aDescription based on print version record. 001435235 650_0 $$aUncertainty (Information theory) 001435235 650_0 $$aJustification (Theory of knowledge) 001435235 650_6 $$aIncertitude (Théorie de l'information) 001435235 650_6 $$aJustification (Théorie de la connaissance) 001435235 655_0 $$aElectronic books. 001435235 7001_ $$aCeberio, Martine. 001435235 7001_ $$aKreinovich, Vladik. 001435235 77608 $$iPrint version:$$aCeberio, Martine.$$tHow Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies.$$dCham : Springer International Publishing AG, ©2021$$z9783030653231 001435235 830_0 $$aStudies in systems, decision and control ;$$vv. 306. 001435235 852__ $$bebk 001435235 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-65324-8$$zOnline Access$$91397441.1 001435235 909CO $$ooai:library.usi.edu:1435235$$pGLOBAL_SET 001435235 980__ $$aBIB 001435235 980__ $$aEBOOK 001435235 982__ $$aEbook 001435235 983__ $$aOnline 001435235 994__ $$a92$$bISE