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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
tions, this refers to a software server that performs "offline" learning tasks (e.g. using MOSES or hilIclimbing), and is in communica- tion with an Operational Agent Controller software server that performs real-time agent control and dispatches learning tasks to and receives results from the Learning Serve
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,
tions, this refers to a software server that performs "offline" learning tasks (e.g. using MOSES or hilIclimbing), and is in communica- tion with an Operational Agent Controller software server that performs real-time agent control and dispatches learning tasks to and receives results from the Learning Serve
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,
ations, this refers to a software server that performs “offline” learning tasks (e.g. using MOSES or hillclimbing), and is in communica- tion with an Operational Agent Controller software server that performs real-time agent control and dispatches learning tasks to and receives results from the Learning Server
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