國立虎尾科技大學 |

Culture on the Edge of Chaos = Cultural Algorithms and the Foundations of Social Intelligence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Culture on the Edge of Chaos/ by Robert G. Reynolds.
Reminder of title:	Cultural Algorithms and the Foundations of Social Intelligence /
Author:	Reynolds, Robert G.
Description:	VIII, 108 p. 67 illus., 52 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-74171-0
ISBN:	9783319741710

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

Culture on the Edge of ChaosCultural Algorithms and the Foundations of Social Intelligence /[electronic resource] :by Robert G. Reynolds. - 1st ed. 2018. - VIII, 108 p. 67 illus., 52 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

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.

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.

ISBN: 9783319741710

Standard No.: 10.1007/978-3-319-74171-0doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Culture on the Edge of Chaos = Cultural Algorithms and the Foundations of Social Intelligence /
LDR:02413nam a22003975i 4500 001 993403
003 DE-He213
005 20200704094414.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319741710 $9 978-3-319-74171-0
024 7 $a 10.1007/978-3-319-74171-0 $2 doi
035 $a 978-3-319-74171-0
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Reynolds, Robert G. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1203529
245 1 0 $a Culture on the Edge of Chaos $h [electronic resource] : $b Cultural Algorithms and the Foundations of Social Intelligence / $c by Robert G. Reynolds.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a VIII, 108 p. 67 illus., 52 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Computer Science, $x 2191-5768
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
650 0 $a Application software. $3 528147
650 0 $a Social sciences—Data processing. $3 1280453
650 0 $a Social sciences—Computer programs. $3 1280454
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
650 2 4 $a Computational Social Sciences. $3 1141127
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319741697
776 0 8 $i Printed edition: $z 9783319741703
830 0 $a SpringerBriefs in Computer Science, $x 2191-5768 $3 1255334
856 4 0 $u https://doi.org/10.1007/978-3-319-74171-0
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)