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<p>Agent-based technology is a relatively new, but rapidly  proliferating decision technology. The relative immaturity  of ABM software often requires significant programmer  expertise in model representation and implementation. This  limits potential users and their ability to utilize the  software. We develop a high level conceptual architecture  for an agent-based modeling environment which overcomes this  limitation. This thesis defines a taxonomy of agents based  on commonly accepted agent characteristics, reviews six  the most popular software platforms for agent-based model  development, and maps their relationship to the taxonomy.  Past modeling advances in the operations research and  management science (OR/MS) domains indicate that a more  generalized environment is possible.  A conceptual architecture for a generalized agent-based  modeling environment (GAME) based upon design principles  from OR/MS systems was created that would overcome some,  not all, of these obstacles. The GAME architecture  incorporates higher-level model representations separate  from solver code, a library of transformation procedures,  reusable model libraries and a robust language or equivalent  interface for specifying experimental design procedures.  Rapid technology development would allow for agent-based  modeling software that subsequently benefits a much wider  range of stakeholders than is currently the case. Finally,  embedding GAME in an even higher-level integrated decision  technology environment (IDTE) would facilitate the  integration of computational and analytical modeling.
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<br>Subjects: Intelligent agents (Computer software); Design; Object-oriented programming (Computer science); Decision support systems</div>
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Nguyen, Christian T.</div>
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