Abstract
CogBox is a system created to demonstrate a theory on Artificially Intelligent Agents. This paper describes this theory, explaining how it improves upon existing AI Agents. We draw upon already well established AI concepts, such as Fuzzy Logic and the Belief, Desire, Intention model, as well as Finite State Machines and discuss their limitations. We present a novel combination of these techniques to overcome these limitations.
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Irvine, D., Gongora, M.A. (2010). CogBox - Combined Artificial Intelligence Methodologies to Achieve a Semi-realistic Agent in Serious Games. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_60
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DOI: https://doi.org/10.1007/978-3-642-13232-2_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13231-5
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