Computational Modeling of Cultural Dimensions in Adversary Organizations
The objective of this research is to explore the nexus between data and models. Secondary objectives include to 1) relate the adversaries organizational structure to behavior when they are conditioned by cultural and social characteristics; and 2) explore, through a computational modeling framework, basic research questions characterizing the processes necessary to influence organizations in diverse cultures.
The technical approach is to model small distributed organizations at the meso-level. Meta-modeling analysis, based on concept maps & computational experiments, is used to determine the validity of model interoperation. Multiple models based on diverse methodologies will interoperate on a testbed which is used to capture the complexity of adversary attitudes and behaviors As part of this project CMU CASOS linked *ORA to GMU's Caesar III and Pythia. Organizational theory was used to define an interpretation logic for moving from observed meta-networks to the command and control and bayesian networks appropriate for assessing adversarial behavior for specific tasks.