Abstract
Life-long learning paradigm accentuates on the continuity of the on-line process of integrating novel information into the existing representational structures, and recategorization or update of these structures. This paper brings up the hypothesis, that memory consolidation is a biological mechanism that resembles the features of life-long learning paradigm. A global model for memory consolidation is proposed on a functional level, after reviewing the empirical studies on the hippocampal formation and neocortex. Instead of considering memory as storage, the proposed model reconsiders ]the memory process as recategorization. Distinct experiences that share a common clement can be consolidated in the memory in a way such that they arc substrata for a new solution. The model is applied to an autobiographical robot.
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Barakova, E.I., Lourens, T., Yamaguchi, Y. (2003). Life-long learning: consolidation of novel events into dynamic memory representations. In: Mira, J., Álvarez, J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44868-3_15
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DOI: https://doi.org/10.1007/3-540-44868-3_15
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