Epstein Secrets

References 345 Ede93. Gerald Edelman. Neural darwinism: Selection and reentrant signaling in higher brain function. Neuron, 10, 1993. Elm91. J. Elman. Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195-226, 1991. EMC12. Effective-Mind-Contr

2008. Dfir02. Dietrich Darner. Die Alechanik des Seelenwegens. Eine neuronale Theorie der Handfungsregula- tion. Verlag Hans Huber, 2002. EBJ+97. J. Elman, E. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi, and K. Plunkett. Rethinking Innateness: A Connection-jai Perspective on Development. MIT Press

. • 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

7. Ferdinand de Saussure. Course in General Linguistics. Flmtana/Collins, 1977. Orig. published 1916 as "emirs de linguistique generale". EBJ+97. J. Elman, E. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi. and K. Plunkett. Rethinking Innateness: A Connectionist Perspective on Development. MIT Press,

. • 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

cond Conf. on AGI, 2008. Dietrich Dérner. Die Mechantk des Seelenwagens. Eine neuronale Theorie der Handlungsregula- tion. Verlag Hans Huber, 2002. J. Elman, E. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi, and K. Plunkett. Rethinking Innateness: A Connectionist Perspective on Development. MIT Press,

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