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.
Drawing attention to the dangerous / S. Kasderidis, J. G. Taylor, N. Tsapatsoulis, D. Malchiodi - In: Artificial neural networks and neural information processing – ICANN/ICONIP 2003 : joint international conference ICANN/ICONIP 2003, Istanbul, Turkey, june 26-29, 2003 : proceedings / [a cura di] O. Kaynak, E. Alpaydin, E. Oja, L. Xu. - Berlin : Springer, 2003. - ISBN 3540404082. - pp. 909-916 (( convegno Joint International Conference on Artificial Neural Networks and Neural Information Processing - ICANN /ICONIP 2003 tenutosi a Istanbul, Turkey nel 2003.
Drawing attention to the dangerous
D. MalchiodiUltimo
2003
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.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
