A Framework for the Representation of Cohesion in Small Combat Units
Date of Award
Spring 2006
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computational Modeling & Simulation Engineering
Program/Concentration
Modeling and Simulation
Committee Director
Andreas Tolk
Committee Member
James Bliss
Committee Member
Bowen Loftin
Committee Member
Russell J. Rockefeller
Abstract
Current combat simulations deal well with large unit formations, weapon systems, and physical effects such as attrition. Human factors such as morale, cohesion, and effects of stress are modeled much less adequately. Of the human factors affecting the psychology of a combat unit, military psychologists have identified cohesion as one of the most important. The concept of cohesion, referring to both the interpersonal relationships between soldiers in a military unit and to the morale solidarity of a military force, has been central to military analysis for many years.
A model framework has been developed that can operationalize the concept of cohesion by measuring the relationship between members of a small combat unit to the individual soldier's reaction to battlefield stress. This framework is such that it will be able to be implemented in any modeled environment that has a need to represent cohesion within the context of a training or analysis experiment. To evaluate the assumption of constant human factors, a model was created to represent a classical Greek phalanx unit. Three historically based scenarios were run to validate the model. The results show that a model with the properties defined in the framework can represent a reasonable facsimile of infantry combat showing the effect of stress and cohesion. These results imply possible uses for the framework in the future of military training, analysis and experimentation using computer simulations.
Rights
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DOI
10.25777/0zv9-v149
ISBN
9780542705748
Recommended Citation
Warner, William E..
"A Framework for the Representation of Cohesion in Small Combat Units"
(2006). Doctor of Philosophy (PhD), Dissertation, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25777/0zv9-v149
https://digitalcommons.odu.edu/msve_etds/52