LEADER 05774nam 22007335 450 001 9910254637503321 005 20200705032443.0 010 $a3-319-45213-4 024 7 $a10.1007/978-3-319-45213-5 035 $a(CKB)3710000000909131 035 $a(DE-He213)978-3-319-45213-5 035 $a(MiAaPQ)EBC6307271 035 $a(MiAaPQ)EBC5591640 035 $a(Au-PeEL)EBL5591640 035 $a(OCoLC)960642997 035 $a(PPN)196323924 035 $a(EXLCZ)993710000000909131 100 $a20161003d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetwork-Oriented Modeling $eAddressing Complexity of Cognitive, Affective and Social Interactions /$fby Jan Treur 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XVI, 499 p. 134 illus., 52 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x1860-0832 300 $aIncludes index. 311 $a3-319-45211-8 327 $aPreface -- Part I Network-Oriented Modeling: Introduction -- Network-Oriented Modelling and its Conceptual Foundations -- A Temporal-Causal Network Modeling Approach -- Part II Emotions all the Way -- How Emotions Come in between Everything -- How do you Feel Dreaming -- Dreaming your Fear away -- Emotions as a Vehicle for Rationality in Decision Making -- Part III Yourself and the Others -- From Mirroring to the Emergence of Shared Understanding and Collective Power -- Am I going to do this? Is it me who did this -- How Empathical are you -- Are you with me. Am I with you -- Changing yourself, Changing the Other, or Changing your Connection -- Part IV Analysis Methods for Temporal-Causal Network Models -- Where is this going -- What is Happening -- Who are you -- Part V Philosophical, Societal and Educational Perspectives -- We don?t Believe in Ghosts, do we -- Making Smart Applications Smarter -- Multidisciplinary Education -- Part VI Network-Oriented Modelling: Discussion -- On the Use of Network-Oriented Modelling -- Index. 330 $aThis book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models ? including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks ? illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains. 410 0$aUnderstanding Complex Systems,$x1860-0832 606 $aSociophysics 606 $aEconophysics 606 $aNeural networks (Computer science)  606 $aPhysics 606 $aComputational complexity 606 $aApplication software 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aSociophysics. 615 0$aEconophysics. 615 0$aNeural networks (Computer science) . 615 0$aPhysics. 615 0$aComputational complexity. 615 0$aApplication software. 615 14$aData-driven Science, Modeling and Theory Building. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aComplexity. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a511.8 700 $aTreur$b Jan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0753297 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254637503321 996 $aNetwork-Oriented Modeling$92534148 997 $aUNINA