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Ontology, Epistemology, and Teleology for Modeling and Simulation pp 271–317Cite as

A Framework for Modeling and Simulation of the Artificial

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 44))

Abstract

Artificial systems that generate contingency-based teleological behaviors in real-time, are difficult to model. This chapter describes a modeling and simulation (M&S) framework designed specifically to reduce this difficulty. The described Knowledge-based Contingency-driven Generative Systems (KCGS) framework combines aspects of SES theory, DEVS-based general systems theory, net-centric heterogeneous simulation, knowledge engineering, cognitive modeling, and domain-specific language development using meta-modeling. The chapter outlines the theoretical and technical foundations of the KCGS framework as realized in the Cognitive Systems Specification Framework (CS2F), a subset of KCGS. Two executable models are described to illustrate how models of autonomous, goalpursuing cognitive systems can be modeled and simulated in the framework. The technical content and agent descriptions in the chapter illustrate how the M&S of the artificial depends critically on ontology, epistemology, and teleology in the KCGS framework.

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Author information

Authors and Affiliations

  1. Air Force Research Laboratory, WPAFB, Dayton, OH, United Sates

    Scott A. Douglass

  2. L-3 Communications, WPAFB, Dayton, OH, United Sates

    Saurabh Mittal

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  1. Scott A. Douglass
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  2. Saurabh Mittal
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Editor information

Editors and Affiliations

  1. Dept. Engineering Management &, Systems Engineering, Old Dominion University, Kaufman Hall 242B, Norfolk, 23529, Virgin Islands, USA

    Andreas Tolk

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Douglass, S.A., Mittal, S. (2013). A Framework for Modeling and Simulation of the Artificial. In: Tolk, A. (eds) Ontology, Epistemology, and Teleology for Modeling and Simulation. Intelligent Systems Reference Library, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31140-6_15

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  • DOI: https://doi.org/10.1007/978-3-642-31140-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31139-0

  • Online ISBN: 978-3-642-31140-6

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