Abstract
In most contexts, learning is essential for the long-term autonomy of an agent. We describes here some essential and fundamental learning mechanisms implemented in a cognitive autonomous agent, CTS (Conscious Tutoring System), we suggest a model that maintains “conscious-” and at the same time "unconscious-" learning as means to increase the agent’s autonomy in unknown or changing environments, and a way to improve its fitness. The two mentioned mechanisms occur in parallel in CTS and are inspired by phenomena believed to exist in humans.
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Faghihi, U., Dubois, D., Gaha, M., Nkambou, R. (2007). Human-Like Learning Methods for a "Conscious" Agent. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_148
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DOI: https://doi.org/10.1007/978-3-540-74282-1_148
Publisher Name: Springer, Berlin, Heidelberg
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