The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)
Center for Education and Research in Information Assurance and Security

An Evolutionary Approach to Group Decision-Making

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Author

J Rees, G Koehler

Tech report number

CERIAS TR 2001-130

Entry type

article

Abstract

We propose modeling Group Support System (GSS) search tasks with Genetic Algorithms. Using explicit mathematical models for Genetic Algorithms (GAs), we show how to estimate the underlying GA parameters from an observed GSS solution path. Once these parameters are estimated, they may be related to GSS variables such as group composition and membership, leadership presence, the specific GSS tools available, incen- tive structure, and organizational culture. The estimated Genetic Algorithm parameters can be used with the mathematical models for GAs to compute or simulate expected GSS pro- cess outcomes.

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Date

2002

URL

http://joc.highwire.org/cgi/reprint/14/3/278

Journal

INFORMS Journal of Computing

Key alpha

Rees

Number

3

Pages

278-292

Volume

14

Publication Date

2002-00-00

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