In this paper we present an architecture of attention-based control for artificial agents. The agent is responsible for monitoring adaptively the user in order to detect context switches in his state. Assuming a successful detection appropriate action will be taken. Simulation results based on a simple scenario show that Attention is an appropriate mechanism for implementing context switch detector systems. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Kasderidis, S., Taylor, J. G., Tsapatsoulis, N., & Malchiodi, D. (2003). Drawing attention to the dangerous. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2714, 909–916. https://doi.org/10.1007/3-540-44989-2_108
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