000838956 000__ 02855cam\a2200529Ki\4500 000838956 001__ 838956 000838956 005__ 20230306144704.0 000838956 006__ m\\\\\o\\d\\\\\\\\ 000838956 007__ cr\un\nnnunnun 000838956 008__ 180502s2018\\\\sz\\\\\\o\\\\\000\0\eng\d 000838956 019__ $$a1035059733$$a1035364923 000838956 020__ $$a9783319741710$$q(electronic book) 000838956 020__ $$a3319741713$$q(electronic book) 000838956 020__ $$z9783319741697 000838956 020__ $$z3319741691 000838956 0247_ $$a10.1007/978-3-319-74171-0$$2doi 000838956 035__ $$aSP(OCoLC)on1034545183 000838956 035__ $$aSP(OCoLC)1034545183$$z(OCoLC)1035059733$$z(OCoLC)1035364923 000838956 040__ $$aAZU$$beng$$erda$$cAZU$$dGW5XE$$dN$T$$dYDX$$dGW5XE$$dEBLCP$$dUAB$$dOCLCF$$dDEFHM$$dOCLCQ 000838956 049__ $$aISEA 000838956 050_4 $$aQA76 000838956 08204 $$a004$$223 000838956 1001_ $$aReynolds, Robert G.,$$eauthor. 000838956 24510 $$aCulture on the edge of chaos :$$bcultural algorithms and the foundations of social intelligence /$$cRobert G. Reynolds. 000838956 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018] 000838956 264_4 $$c©2018 000838956 300__ $$a1 online resource. 000838956 336__ $$atext$$btxt$$2rdacontent 000838956 337__ $$acomputer$$bc$$2rdamedia 000838956 338__ $$aonline resource$$bcr$$2rdacarrier 000838956 347__ $$atext file$$bPDF$$2rda 000838956 4901_ $$aSpringerBriefs in Computer Science,$$x2191-5768 000838956 504__ $$aIncludes bibliographical references. 000838956 5050_ $$aThe Cultural Algorithm: Culture on the Edge of Chaos -- Cultural Algorithm Framework -- Modeling the Social Fabric -- Generating Chaos -- Social Metrics -- The Cultural Engine: Putting Individuals to Work -- Comparing Nuclear Family and Extended Family Organizations -- Comparison of Lineage Based Subculture Social Organization Performance -- Conclusions -- References. 000838956 506__ $$aAccess limited to authorized users. 000838956 520__ $$aThe author first introduces the basic framework for cultural algorithms and he then explains the social structure of a cultural system as a mechanism for the distribution of problem-solving information throughout a population. Three different models for social organizations are presented: the homogeneous (nuclear family), heterogeneous (expanded family), and subculture (descent groups) social models. The chapters that follow compare the learning capabilities of these social organizations relative to problems of varying complexity. The book concludes with a discussion of how the results can impact our understanding of social evolution. 000838956 650_0 $$aComputer science. 000838956 650_0 $$aArtificial intelligence. 000838956 650_0 $$aSocial intelligence. 000838956 650_0 $$aApplication software. 000838956 650_0 $$aComputational intelligence. 000838956 77608 $$iPrint version:$$z9783319741697 000838956 830_0 $$aSpringerBriefs in computer science. 000838956 852__ $$bebk 000838956 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-74171-0$$zOnline Access$$91397441.1 000838956 909CO $$ooai:library.usi.edu:838956$$pGLOBAL_SET 000838956 980__ $$aEBOOK 000838956 980__ $$aBIB 000838956 982__ $$aEbook 000838956 983__ $$aOnline 000838956 994__ $$a92$$bISE