000825225 000__ 03196cam\a2200517Ii\4500 000825225 001__ 825225 000825225 005__ 20230306144302.0 000825225 006__ m\\\\\o\\d\\\\\\\\ 000825225 007__ cr\cn\nnnunnun 000825225 008__ 171215s2018\\\\sz\\\\\\ob\\\\001\0\eng\d 000825225 019__ $$a1015987674$$a1021188467$$a1026987784$$a1032271302 000825225 020__ $$a9783319698984$$q(electronic book) 000825225 020__ $$a3319698982$$q(electronic book) 000825225 020__ $$z9783319698960 000825225 020__ $$a3319698966 000825225 020__ $$a9783319698960 000825225 0247_ $$a10.1007/978-3-319-69898-4$$2doi 000825225 035__ $$aSP(OCoLC)on1015372151 000825225 035__ $$aSP(OCoLC)1015372151$$z(OCoLC)1015987674$$z(OCoLC)1021188467$$z(OCoLC)1026987784$$z(OCoLC)1032271302 000825225 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dOCLCF$$dYDX$$dAZU$$dUPM$$dCOO$$dOCLCQ$$dVT2$$dUAB 000825225 049__ $$aISEA 000825225 050_4 $$aQ325 000825225 08204 $$a003/.7$$223 000825225 1001_ $$aBurguillo, Juan C.,$$eauthor. 000825225 24510 $$aSelf-organizing coalitions for managing complexity :$$bagent-based simulation of evolutionary game theory models using dynamic social networks for interdisciplinary applications /$$cJuan C. Burguillo. 000825225 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018. 000825225 300__ $$a1 online resource. 000825225 336__ $$atext$$btxt$$2rdacontent 000825225 337__ $$acomputer$$bc$$2rdamedia 000825225 338__ $$aonline resource$$bcr$$2rdacarrier 000825225 347__ $$atext file$$bPDF$$2rda 000825225 4901_ $$aEmergence, complexity and computation,$$x2194-7287 ;$$vvolume 29 000825225 504__ $$aIncludes bibliographical references and index. 000825225 5050_ $$aIntroduction.- Complex Systems -- Complex Networks.- Cellular Automata.- Multi-agent Systems -- Self-Organization.- Game Theory.- Optimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps. 000825225 506__ $$aAccess limited to authorized users. 000825225 520__ $$aThis book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master?s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph. D. and postdoctoral researchers seeking a general perspective on how to design and create their own models. 000825225 588__ $$aOnline resource; title from PDF title page (viewed December 27, 2017). 000825225 650_0 $$aSelf-organizing systems. 000825225 650_0 $$aEvolutionary computation. 000825225 650_0 $$aGame theory. 000825225 77608 $$iPrint version: $$z9783319698960 000825225 830_0 $$aEmergence, complexity and computation ;$$v29. 000825225 852__ $$bebk 000825225 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-69898-4$$zOnline Access$$91397441.1 000825225 909CO $$ooai:library.usi.edu:825225$$pGLOBAL_SET 000825225 980__ $$aEBOOK 000825225 980__ $$aBIB 000825225 982__ $$aEbook 000825225 983__ $$aOnline 000825225 994__ $$a92$$bISE