LEADER 04061nam 22004815 450 001 9910349321103321 005 20251223155910.0 010 $a3-030-25913-7 024 7 $a10.1007/978-3-030-25913-6 035 $a(CKB)4100000009191138 035 $a(MiAaPQ)EBC5894531 035 $a(DE-He213)978-3-030-25913-6 035 $a(PPN)269147764 035 $a(EXLCZ)994100000009191138 100 $a20191025d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantum-Like Models for Information Retrieval and Decision-Making /$fedited by Diederik Aerts, Andrei Khrennikov, Massimo Melucci, Bourama Toni 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (178 pages) 225 1 $aSTEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health,$x2520-1948 311 08$a3-030-25912-9 327 $a- D. Aerts, M. S. de Bianchi, S. Sozzo and T. Velóz: Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach -- A. Platonov, I. Bessmertny, E. Semenenko and A. Alodjants: Non-Separability Effects in Cognitive Semantic Retrieving -- J. Busemeyer and Z. Wang: Introduction to Hilbert Space Multi-Dimensional Modeling -- A. Khrennikov: Basics of Quantum Theory for Quantum-like Modeling Information Retrieval -- B. Wang, E. Di Buccio and M. Melucci: Representing Words in Vector Space and Beyond -- I. Schmitt, G. Wirsching and M. Wolff: Quantum-Based Modelling of Database States -- I. Schmitt: Incorporating Weights into a Quantum-Logic-Based Query Language -- E. Di Buccio and M. Melucci: Searching for Information with Meet and Join Operators. 330 $aRecent years have been characterized by tremendous advances in quantum information and communication, both theoretically and experimentally. In addition, mathematical methods of quantum information and quantum probability have begun spreading to other areas of research, beyond physics. One exciting new possibility involves applying these methods to information science and computer science (without direct relation to the problems of creation of quantum computers). The aim of this Special Volume is to encourage scientists, especially the new generation (master and PhD students), working in computer science and related mathematical fields to explore novel possibilities based on the mathematical formalisms of quantum information and probability. The contributing authors, who hail from various countries, combine extensive quantum methods expertise with real-world experience in application of these methods to computer science. The problems consideredchiefly concern quantum information-probability based modeling in the following areas: information foraging; interactive quantum information access; deep convolutional neural networks; decision making, quantum dynamics; open quantum systems; and theory of contextual probability. The book offers young scientists (students, PhD, postdocs) an essential introduction to applying the mathematical apparatus of quantum theory to computer science, information retrieval, and information processes. . 410 0$aSTEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health,$x2520-1948 606 $aMathematical physics 606 $aMathematical Physics 615 0$aMathematical physics. 615 14$aMathematical Physics. 676 $a025.524 676 $a025.524 702 $aAerts$b Diederik$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKhrennikov$b Andrei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMelucci$b Massimo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aToni$b Bourama$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910349321103321 996 $aQuantum-Like Models for Information Retrieval and Decision-Making$91733511 997 $aUNINA