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Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models

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Concepts and Methodologies for Modeling and Simulation

Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

Abstract

Multimodeling approaches are increasingly required for simulating multifaceted systems across many scientific disciplines. Such approaches represent the system as a set of subsystem models, each with its own structure and behavior. Some multimodeling approaches use modeling methods to define how the subsystem structures and behaviors interact. However, modeling a system this way brings about subsystem and composition complexity that must be managed. The complexities of hybrid models resulting from the interactions of the composed models can be reduced using interaction models. Independently developing and utilizing such interaction models provides additional flexibility in system model design, modification, and execution for both the subsystem models and the resultant hybrid system model. This chapter discusses the use of the polyformalism model composition approach for researching human–environment dynamics with direct support for managing the complexity, which results from subsystem model interactions within this domain.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-15096-3_16

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Acknowledgments

This research is supported by National Science Foundation grant #BCS-0140269 and #DEB-1313727. We would like to thank the entire MedLand team for their help and partnership.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA

    Hessam S. Sarjoughian

  2. Department of Computer Science, Southern Illinois University, Edwardsville, IL, USA

    Gary R. Mayer

  3. School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA

    Isaac I. Ullah

  4. Center for Social Dynamics and Complexity, Arizona State University, Tempe, AZ, USA

    C. Michael Barton

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  1. Hessam S. Sarjoughian
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  3. Isaac I. Ullah
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  4. C. Michael Barton
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Corresponding author

Correspondence to Hessam S. Sarjoughian .

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Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Department of Industrial and Systems Engineering, Auburn University, Auburn, Alabama, USA

    Levent Yilmaz

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Sarjoughian, H.S., Mayer, G.R., Ullah, I.I., Barton, C.M. (2015). Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models. In: Yilmaz, L. (eds) Concepts and Methodologies for Modeling and Simulation. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-15096-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-15096-3_6

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