Drawing attention to the dangerous

  • Authors:
  • Stathis Kasderidis;John G. Taylor;Nicolas Tsapatsoulis;Dario Malchiodi

  • Affiliations:
  • Department of Mathematics, King's College London, Strand, UK;Department of Mathematics, King's College London, Strand, UK;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;Department of Computer Science, University of Milan, Milan, Italy

  • Venue:
  • ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
  • Year:
  • 2003

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Abstract

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.