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For the first time in history, scholars working on language and culture from within an evolutionary epistemological framework, and thereby emphasizing complementary or deviating theories of the Modern Synthesis, were brought together. Of course there have been excellent conferences on Evolutionary Epistemology in the past, as well as numerous conferences on the topics of Language and Culture. However, until now these disciplines had not been brought together into one all-encompassing conference. Moreover, previously there never had been such stress on alternative and complementary theories of the Modern Synthesis. Today we know that natural selection and evolution are far from synonymous and that they do not explain isomorphic phenomena in the world. ‘Taking Darwin seriously’ is the way to go, but today the time has come to take alternative and complementary theories that developed after the Modern Synthesis, equally seriously, and, furthermore, to examine how language and culture can merit from these diverse disciplines. As this volume will make clear, a specific inter- and transdisciplinary approach is one of the next crucial steps that needs to be taken, if we ever want to unravel the secrets of phenomena such as language and culture.

Knowledge, Theory of --- Knowledge, Sociology of --- Biology --- Philosophy and science --- Language and languages --- Social evolution --- System theory --- Théorie de la connaissance --- Sociologie de la connaissance --- Biologie --- Philosophie et science --- Langage et langues --- Evolution sociale --- Théorie des systèmes --- Congresses --- Philosophy --- Origin --- Congrès --- Philosophie --- Origines --- Evolution. --- Evolution (Biology). --- Knowledge, Theory of. --- Language and languages. --- Philosophy and science. --- Philosophy. --- Science. --- Social evolution. --- System theory. --- Evolution --- Speculative Philosophy --- Philosophy & Religion --- Théorie de la connaissance --- Théorie des systèmes --- Congrès --- EPUB-LIV-FT LIVPHILO SPRINGER-B --- Epistemology. --- Evolutionary biology. --- Linguistics. --- Anthropology. --- Philosophy, general. --- Philosophy of Science. --- Evolutionary Biology. --- Linguistics, general. --- Knowledge [Theory of ] --- Reasoning --- Linguistics --- History --- Culture --- Genetic epistemology. --- Philosophy (General). --- Science --- Human beings --- Developmental psychology --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny --- Normal science --- Philosophy of science --- Linguistic science --- Science of language --- Science and philosophy --- Mental philosophy --- Humanities --- Epistemology --- Theory of knowledge --- Psychology --- Congresses. --- Evolutionary epistemology --- Language --- EELC --- Primitive societies --- Social sciences

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Recent 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 considered chiefly 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. .

Information retrieval --- Data processing. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Mathematical physics. --- Mathematical Physics. --- Physical mathematics --- Physics --- Mathematics