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Multi-formalism Modelling of Human Organization

  • Alexander H. LevisEmail author
Chapter
Part of the Simulation Foundations, Methods and Applications book series (SFMA)

Abstract

The modelling of a human organization for the analysis of its behaviour in response to external stimuli is a complex problem and requires development and interoperation of a set of several models. Each model, developed using different modelling languages but the same data, offers unique insights and makes specific assumptions about the organization being modelled. Interoperation of such models can produce a more robust modelling and simulation capability to support analysis and evaluation of the organizational behaviour. The meta-modelling analysis based on concept maps and ontologies indicates what types of interoperation are valid between models expressed in different modelling languages. The approach is illustrated through several examples focusing on the use of social networks, Timed Influence Nets (a variant of Bayes Nets) and Colored Petri nets.

Keywords

Timed influence nets Social networks Concept maps Ontology Workflow 

Notes

Acknowledgement

The contribution of Prof. Kathleen Carley and her students, Carnegie Mellon University, in the development of some of the underlying ideas while working together in collaborative projects is gratefully acknowledged. This chapter is based on the work of many students and colleagues in the System Architectures Laboratory at George Mason University, especially Drs. Zaidi, Wagenhals and Abu Jbara.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Electrical and Computer EngineeringGeorge Mason UniversityFairfaxUSA

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