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- W2620188897 abstract "The Multilevel Darwinist Brain (MDB) is a cognitive architecture aimed at providing autonomous and self-motivated life-long learning capabilities for robots. This paper deals with a new structure and implementation for the long term memory (LTM) in MDB based on Fuster’s concept of Network memory and on the introduction of a new type of node or cognit called Context Node (Cnode). The idea of Network memory as proposed here, provides a path to hierarchically and progressively relate LTM knowledge elements, allowing for a developmental approach to learning that permits very efficient experience based responses from the robot. We include a simple, albeit quite illustrative, example of the application of these ideas using a real Baxter robot." @default.
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- W2620188897 date "2017-01-01" @default.
- W2620188897 modified "2023-09-23" @default.
- W2620188897 title "Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory" @default.
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- W2620188897 doi "https://doi.org/10.1007/978-3-319-59740-9_3" @default.
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