Abstract
We developed simulations of temporal sequence storage and generation by multi-modular neural networks based on the frontal lobes system. Possible architectures for the storage and retrieval of temporal sequences are investigated using a cartoon version of the frontal lobes i.e. the ACTION net. This architecture is used to learn preferred work plans in relation to the sequences that a user performs to solve work tasks.
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Taylor, N.R. (2000). Modelling Preferred Work Plans. In: Azvine, B., Nauck, D.D., Azarmi, N. (eds) Intelligent Systems and Soft Computing. Lecture Notes in Computer Science(), vol 1804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720181_15
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DOI: https://doi.org/10.1007/10720181_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67837-3
Online ISBN: 978-3-540-44917-1
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