NDLI: The Impact of Subcultures in Cultural Algorithm Problem Solving

Content Provider	IEEE Xplore Digital Library
Author	Reynolds, R.G. Gawasmeh, Y.A. Salaymeh, A.
Copyright Year	2015
Description	Author affiliation: Comput. Sci. Dept., Wayne State Univ., Detroit, MI, USA (Reynolds, R.G.; Gawasmeh, Y.A.; Salaymeh, A.)
Abstract	Cultural Algorithms are computational models of social evolution based upon principle of Cultural Evolution. A Cultural Algorithm consists of a Belief Space consisting of a network of active and passive knowledge sources and a Population Space of agents. The agents are connected via a social fabric over which information used in agent problem solving is passed. The knowledge sources in the Belief Space compete with each other in order to influence the decision making of agents in the Population Space. Likewise, the problem solving experiences of agents in the Population Space are sent back to the Belief Space and used to update the knowledge sources there. It is a dual inheritance system in which both the Population and Belief spaces evolve in parallel. In this paper we compare three different social fabrics (homogeneous, heterogeneous and Sub-Cultures) over a wide range of problem complexities. The performances of these three different evolutionary approaches are compared relative to a variety of benchmark landscapes of varying entropy, from static to chaotic. We show that as the number of independent processes that are involved in the production of a landscape increases, the more advantageous subcultures are in directing the population to a solution. Such landscapes are often characteristic of deep learning problems in which patterns are generated by the interaction of many simple interactions. While sub-cultured approaches can emerge in a given problem, they do not have to. It is shown that for single layer generators for a landscape or image, sub-cultures do not effectively emerge since they are not needed to solve such problems.
Starting Page	1876
Ending Page	1884
File Size	464072
Page Count	9
File Format	PDF
ISBN	9781479975600
DOI	10.1109/SSCI.2015.261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-07
Publisher Place	South Africa
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sociology Wheels Fabrics Topology Complexity theory Cultural differences Statistics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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