Abstract
We present in this paper a novel approach for the modeling of agents able to react and reason under highly dynamic environments. A hybrid agent architecture is described, which allows to integrate the capacity to react rapidly to instantaneous changes in the environment with the capacity to reason more thoroughly about perceptions and actions. These capacities are implemented as independent processes running concurrently, and exploiting different memorizing abilities. Only a short-term memory is made available to reactive agents, whilst long-term memorizing abilities together with the possibility to reason about incomplete information is provided to cognitive agents. This model is currently experimented and tested under the framework of the RoboCup competition. An application example is provided to support the discussion.
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© 1999 Springer-Verlag Heidelberg Berlin
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Torterolo, F., Garbay, C. (1999). A Hybrid Agent Model, Mixing Short Term and Long Term Memory Abilities. In: Asada, M., Kitano, H. (eds) RoboCup-98: Robot Soccer World Cup II. RoboCup 1998. Lecture Notes in Computer Science(), vol 1604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48422-1_20
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DOI: https://doi.org/10.1007/3-540-48422-1_20
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