Extended Behavior Networks for Behavior Selection in Dynamic and Continuous Domains
نویسنده
چکیده
In this paper we present how behavior networks can be extended to model behavior selection of agents in dynamic and continuous domains. More precisely, the focus is on a mechanism for selection of concurrent behaviors by explicit representation of resources a behavior makes use of. Further it describes how the behavior selection process can be coupled with behavior execution in continuous domains. Behaviors may be influenced by the decidedness of the behavior selection as is the case in biological systems. Empirical results in the RoboCup domain show that both extensions improve the performance of soccer playing agents significantly.
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