Abstract
This article proposes a memory retention strategy in a knowledge network structure in order to make a more efficient intelligent system. The structure and management strategy of the memory have a great influence on the efficiency of the system. In this approach, the concept of neutral energy is introduced, which is used to represent the state of the knowledge node. The energy value of the node was designed to manage the memory retention and recall process in a brain-inspired system. This strategy was applied to a virtual memory and tested with sample data.
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This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009
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Shim, J. Memory retention process by balancing the neutral energy point in a brain-inspired system. Artif Life Robotics 14, 535–538 (2009). https://doi.org/10.1007/s10015-009-0738-2
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DOI: https://doi.org/10.1007/s10015-009-0738-2