In this paper, we investigate simple attentional mechanisms suitable for sensing rate regulation and action coordination in the presence of mutually dependent behaviors. We present our architecture along with a case study where a real robotic system is to manage and harmonize conflicting tasks. This research focuses on attentional mechanisms for regulating the frequencies of sensor readings and action activations in a behavior-based robotic system. Such mechanisms are to direct sensors toward the most salient sources of information and filter the available sensory data to prevent unnecessary information processing. © 2010 Springer-Verlag.
CITATION STYLE
Burattini, E., Rossi, S., Finzi, A., & Staffa, M. (2010). Attentional modulation of mutually dependent behaviors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6226 LNAI, pp. 283–292). https://doi.org/10.1007/978-3-642-15193-4_27
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