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 2002-42

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, incentive structure, and organizational culture. The estimated Genetic Algorithm parameters can be used with the mathematical models for GAs to compute or simulate expected GSS process outcomes.

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Date

2002

Journal

INFORMS Journal on Computing

Key alpha

Rees

Number

3

Pages

278-292

Publisher

INFORMS

Volume

14

Publication Date

2002-01-01

Contents

1. Introduction 2. Background 3. An Evolutionary Approach to GSS 4. The Genetic Algorithm Evolutionary Model 5. Markov Chain Model for GAs and Parameter Estimation 6. Modeling a GSS as a GA: Model Details 7. Illustration 8. Using the GA Mathematical Model 9. Conclusions and Future Directions

Copyright

2002 INFORMS

Language

English

Location

A hard-copy of this is in the CERIAS Library

Subject

Decision Support Systems; Artificial Intelligence; Probability: Markov

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