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isting knowledge as hilly as passible. EFTA00624343 Chapter 31 Learning Procedures via Imitation, Reinforcement and Correction Co-authored with Moshe Looks, Samir Araujo and Welter Silva 31.1 Introduction In procedure learning as elsewhere in cognition, it's not enough to use the right algorithm, one
usual, but making use of Metallodes as well as ordinary CT nodes. The modeling of Metallodes is quite similar to the modeling of Nodes representing ConceptNodes and PredicateNodes using embedding vectors. In this way, one can use standard, small decision tree models to model fairly large portions of CTs (be
s implicit among multiple biomedical research abstracts. In Proc. of Bio-NLP 2006, 2006. CPSL03. Ben Coertzel, Cassio Pennachin, Andre' Senna, and Moshe Looks. An integrative architecture for artificial general intelligence. In Proceedings of IJCAI 2003, Acapulco. 2003. Cre0l. Susan Greenfield. The Priva
at contains all required packages and tools to test and develop OpenCog. • Concept Creation: A general term for cognitive processes that create new ConceptNodes, PredicateNodes or concept maps representing new concepts. • Conceptual Blending: A process of creating new concepts via judiciously combining pie
ies implicit among multiple biomedical research abstracts. In Proc. of Bio-NLP 2006, 2006. GPSLO3. Ben Goertzel, Cassio Pennachin, Andre’ Senna, and Moshe Looks. An integrative architecture for artificial general intelligence. In Proceedings of IJCAI 2003, Acapulco, 2003. Gre 1. Susan Greenfield. The Private
hat contains all required packages and tools to test and develop OpenCog. e Concept Creation: A general term for cognitive processes that create new ConceptNodes, PredicateNodes or concept maps representing new concepts. e Conceptual Blending: A process of creating new concepts via judiciously combining piece
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