Epstein Secrets

NOO. George Lakoff and Rafael Nunez. Where Mathematics Comes From. Basic Books, 2000. Loo06. Moshe Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. Loo07a. M. Looks. On the behavioral diversity of random programs. In Genetic and evolutionary compu- tation confere

. • Imitation Learning: Learning via copying what some other agent is observed to do. • Implication: Often refers to an ImplicationLink between two PredicateNodes, indicating an (extensional, intensional or mixed) logical implication. • Implicit Knowledge Representation: Representation of knowledge via having

2000. Log07. Robert M. Logan. The Extended Mind. University of Toronto Press. 2007. Loo06. Moshe Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. LRN87. John Laird, Paul Rosenbloom, and Alan Newell. Soar: An architecture for general intelligence. Artificial In

. • Imitation Learning: Learning via copying what some other agent is observed to do. • Implication: Often refers to an ImplicationLink between two PredicateNodes, indicating an (extensional, intensional or mixed) logical implication. • Implicit Knowledge Representation: Representation of knowledge via having

s, 2000. Log07. Robert M. Logan. The Extended Mind. University of Toronto Press, 2007. Loo06. Moshe Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. LRN87. John Laird, Paul Rosenbloom, and Alan Newell. Soar: An architecture for general intelligence. Artificial Inte

er atoms. Grounded- PredicateNodes and GroundedSchemaNodes connect to explicitly represented procedures (sometimes in the Combo language); ungrounded PredicateNodes and SchemaNodes are abstract and, like ConceptNodes, purely characterized by their relationships. Node Probability: Many PLN inference rules rely on