Cantitate/Preț
Produs

Culture on the Edge of Chaos: Cultural Algorithms and the Foundations of Social Intelligence: SpringerBriefs in Computer Science

Autor Robert G. Reynolds
en Limba Engleză Paperback – 14 mai 2018
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.
Citește tot Restrânge

Din seria SpringerBriefs in Computer Science

Preț: 30753 lei

Preț vechi: 38442 lei
-20% Nou

Puncte Express: 461

Preț estimativ în valută:
5885 6248$ 4904£

Carte tipărită la comandă

Livrare economică 26 decembrie 24 - 09 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319741697
ISBN-10: 3319741691
Pagini: 138
Ilustrații: VIII, 108 p. 67 illus., 52 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.18 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.


Notă biografică

Prof. Robert G. Reynolds is a professor of computer science in the College of Engineering of Wayne State University, and a Visiting Research Scientist at the Museum of Anthropological Archaeology and the Center for Complex Systems at the University of Michigan, Ann Arbor. He developed the Cultural Algorithms paradigm, and has given invited talks on this topic at conferences such as WCCI and SSCI.

Textul de pe ultima copertă

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.

Caracteristici

Cultural algorithm has three major components: a population space, a belief space, and a communication protocol that describes how these components exchange knowledge Author originated the cultural algorithm, a branch of evolutionary computing Applications in understanding social evolution