Epstein Secrets

. • 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

hanahan and David A Randell. A logic-based formulation of active visual perception. In Knowledge Representation, 2004. 5S03. R. P. Salustowicz and J. Schmidhuber. Probabilistic incremental program evolution. Lecture Notes in Computer Science vol. 2706, 2003. ST91. Daniel Sleator and Davy Tetnperley. Parsing

. • 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

i- ronments. Proc. ICANN'95, 1995. Sch02. Juergen Schmidhuber. Exploring the predictable.. Springer, 2002. EFTA00624125 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Ashy Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence,

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

ments. Proc. ICANN’95, 1995. Sch02. Juergen Schmidhuber. Exploring the predictable.. Springer, 2002. HOUSE_OVERSIGHT_013265 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Fully Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence,