Agent-Based Modeling: A Historical Perspective and a Review of Validation and Verification Efforts

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Author(s): Brian L. Heath (Wright State University, USA)and Raymond R. Hill (Air Force Institute of Technology, USA)
Copyright: 2010
Pages: 30
Source title: Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
Source Author(s)/Editor(s): Evon M. O. Abu-Taieh (The Arab Academy for Banking and Financial Sciences, Jordan)and Asim A. El-Sheikh (Arab Academy for Banking and Financial Sector, Jordan)
DOI: 10.4018/978-1-60566-774-4.ch003

Keywords: Computer Science & IT / Grid & High Performance Computing / High Performance Computing / Information Science Reference

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Abstract

Models and simulations have been widely used as a means to predict the performance of systems. Agentbased modeling and agent distillations have recently found tremendous success particularly in analyzing ground force employment and doctrine. They have also seen wide use in the social sciences modeling a plethora of real-life scenarios. The use of these models always raises the question of whether the model is correctly encoded (verified) and accurately or faithfully represents the system of interest (validated). The topic of agent-based model verification and validation has received increased interest. This chapter traces the historical roots of agent-based modeling. This review examines the modern influences of systems thinking, cybernetics as well as chaos and complexity on the growth of agent-based modeling. The chapter then examines the philosophical foundations of simulation verification and validation. Simulation verification and validation can be viewed from two quite different perspectives: the simulation philosopher and the simulation practitioner. Personnel from either camp are typically unaware of the other camp’s view of simulation verification and validation. This chapter examines both camps while also providing a survey of the literature and efforts pertaining to the verification and validation of agent-based models. The chapter closes with insights pertaining to agent-based modeling, the verification and validation of agent-based models, and potential directions for future research.

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