04367nam 22007815 450 991029984350332120201223082600.03-319-11170-110.1007/978-3-319-11170-4(CKB)3710000000251909(EBL)1968539(OCoLC)908089965(SSID)ssj0001372482(PQKBManifestationID)11881962(PQKBTitleCode)TC0001372482(PQKBWorkID)11304282(PQKB)10287856(DE-He213)978-3-319-11170-4(MiAaPQ)EBC1968539(PPN)182095711(EXLCZ)99371000000025190920141004d2015 u| 0engur|n|---|||||txtccrInformation Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition /by Hermann Haken, Juval Portugali1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (96 p.)Understanding Complex Systems,2191-5326Description based upon print version of record.3-319-11169-8 Includes bibliographical references.Shannonian versus semantic information and cognition -- Information versus data -- The empirical basis of information adaptation -- A complexity theory approach to information -- On synergetic computers and other machines -- Pattern recognition as a paradigm of information adaptation -- From general principles of information adaptation to concrete specific models -- Some further applications and discussions of information adaptation.This monograph demonstrates the interplay between Shannon information and semantic information in cognition. It shows that Shannon’s information acts as driving force for the formation of semantic information; and vice versa, namely, that semantic information participates in the formation of Shannonian information. The authors show that in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process termed as information adaptation. In the latter the mind/brain adapts to the environment by the deflating and/or inflating of the information conveyed by the environment. In the process of information adaptation, quantitative variations in Shannon’s information entail different meanings while different meanings affect the quantity of information. The book illustrates the above conceptually and mathematically by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object.Understanding Complex Systems,2191-5326Computational complexitySociophysicsEconophysicsComputational intelligenceStatistical physicsComplexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Data-driven Science, Modeling and Theory Buildinghttps://scigraph.springernature.com/ontologies/product-market-codes/P33030Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Applications of Nonlinear Dynamics and Chaos Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/P33020Computational complexity.Sociophysics.Econophysics.Computational intelligence.Statistical physics.Complexity.Data-driven Science, Modeling and Theory Building.Computational Intelligence.Applications of Nonlinear Dynamics and Chaos Theory.006.3620621Haken Hermannauthttp://id.loc.gov/vocabulary/relators/aut17714Portugali Juvalauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299843503321Information Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition2526420UNINA