Accession Number:

ADA539467

Title:

Computational Modeling of Cultural Dimensions in Adversary Organizations

Descriptive Note:

Final technical rept. 1 Jun 2005-30 Nov 2010

Corporate Author:

GEORGE MASON UNIV FAIRFAX VA SYSTEM ARCHITECTURE LAB

Report Date:

2010-01-01

Pagination or Media Count:

356.0

Abstract:

The initial objectives of the Computational Modeling of Cultural Dimensions in Adversary Organizations were a To relate an adversarys organizational structure to behavior when both structure and behavior are conditioned by cultural and social characteristics, as they always are in realistic settings. b To address basic research questions centered on locating the points of influence and characterizing the processes necessary to influence organizations in diverse cultures. c To explore, through a computational modeling framework, the nexus between data and models for individual adversaries micro level and data and models for organizations of adversaries macro level. As the project evolved, additional objectives were introduced d To explore multi-modeling as a way to model adversary behaviors and research the underlying theory meta-modeling e Demonstrate the approach through a case study that addresses issues of deterrence. A set of tasks was defined for achieving the these objectives. They were Task 1 Implement a testbed for computational modeling. Task 2 Expand and enhance the existing models at George Mason Universitys System Architectures Laboratory GMUSAL and at Carnegie Mellon Universitys Center for Computational Analysis of Social and Organizational Systems CMUCASOS Task 3 Conduct computational experiments to address the set of research hypotheses. Task 4 Develop and transition theory-based tools to the Air Force Task 5 Provide Education and Training Task 6 Meta-Modeling for Multi-Modeling Integration Task 7 Demonstration of Computational Experiment Task 8 Management and Documentation.

Subject Categories:

  • Numerical Mathematics
  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE