Integrating inductive neural network learning and explanation-based learning
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
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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 thc 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 element can be consolidated in the memory in a way such that they are substrata for a new solution. The model is applied to an autobiographical robot.