Abstract
This paper defines a meta-reasoning model for real-time agents. The purpose of this model is to increase the adaptability in this kind of agents. This model allows to adapt the agent’s behavior as well as the agent’s own reasoning process. The application of this model to an specific real-time agent architecture is also presented.
This work is partially funded by the Spanish goverment projects MCyT TIN2005-08945-C06-06 (FEDER) and TIC2003-07369-C02-01.
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Carrascosa, C., Terrasa, A., García-Fornes, A., Espinosa, A., Botti, V. (2006). A Meta-Reasoning Model for Hard Real-Time Agents. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_5
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DOI: https://doi.org/10.1007/11881216_5
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