A fuzzy rules-based approach to analyzing human behavior models

Human behavior models (HBMs) are increasingly used in complex domains such as military or manufacturing domains, for no man ever looks at the world with pristine eyes. In this context, we glean appropriate theories and pragmatic findings on human culture, and report in this paper a framework to model and simulate the behavior of an individual as well as of a group of individuals. For this purpose, bases for fuzzy computational agents to represent cultural background are presented, and then some definitions of culture and dimensions, layers and descriptions of differences among cultures are reviewed. Culture models of Hofstede and Schwartz are reviewed and a special questionnaire to specify cultural values is explained. After that comes our fuzzy rules-based approach to analyzing human behavior models. A preliminary model for individual cultural agent is described briefly, followed by the extended approach to analyzing behavior models in organization level.