This is the repository for the development of a greedy algorithm that can apply utility maximization to a simple state machine based artificially intelligent agent. This algorithm was designed for CSE 374 at Miami University by Matthew Coe, Souyma Mitra, and Kyle Lierer. The repository contains a formal paper which details the specifics of the algorithm including the problem definition, literature review, our algorithm, a correctness proof of the algorithm, and a report of the algorithm's performance. Moreover, the repository also includes an implementation of our algorithm using Java 8.
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An algorithm that can apply utility maximization to a simple state machine based artificially intelligent agent.
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Kyle-L/CSE-374-Max-Utility
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An algorithm that can apply utility maximization to a simple state machine based artificially intelligent agent.
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