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Culture on the Edge of Chaos : Cultural Algorithms and the Foundations of Social Intelligence / / by Robert G. Reynolds



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Autore: Reynolds Robert G Visualizza persona
Titolo: Culture on the Edge of Chaos : Cultural Algorithms and the Foundations of Social Intelligence / / by Robert G. Reynolds Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (VIII, 108 p. 67 illus., 52 illus. in color.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computational intelligence
Application software
Social sciences—Data processing
Social sciences—Computer programs
Artificial Intelligence
Computational Intelligence
Computer Appl. in Social and Behavioral Sciences
Computational Social Sciences
Nota di contenuto: The 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.
Sommario/riassunto: The 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.
Titolo autorizzato: Culture on the Edge of Chaos  Visualizza cluster
ISBN: 3-319-74171-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299278003321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Computer Science, . 2191-5768