Resultados de Pesquisa

INGLÊS

Neural Networks For Control

103,35€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 Neural Networks for Control highlights key issues in learning control and identifies research directions that could lead to practical solutions for control problems in critical application domains. It addresses general issues of neural network based control and neural network learning with regard to specific problems of motion planning and control in robotics, and takes up application domains well suited to the capabilities of neural network controllers. The appendix describes seven benchmark control problems. Contributors Andrew G. Barto, Ronald J. Williams, Paul J. Werbos, Kumpati S. Narendra, L. Gordon Kraft, III, David P. Campagna, Mitsuo Kawato, Bartlett W. Met, Christopher G. Atkeson, David J. Reinkensmeyer, Derrick Nguyen, Bernard Widrow, James C. Houk, Satinder P. Singh, Charles Fisher, Judy A. Franklin, Oliver G. Selfridge, Arthur C. Sanderson, Lyle H. Ungar, Charles C. Jorgensen, C. Schley, Martin Herman, James S. Albus, Tsai-Hong Hong, Charles W. Anderson, W. Thomas Miller, III
INGLÊS

Exercises In Rethinking Innateness - A Handbook For Connectionist Simulations

de Jeffrey Elman e Kim Plunkett

103,35€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 This text is the companion volume to "Rethinking Innateness: A Connectionist Perspective on Development". It provides concrete illustrations - in the form of computer simulations - of properties of connectionist models that are particularly relevant to cognitive development.
INGLÊS

Neural Network Design And The Complexity Of Learning

de J. Stephen Judd

70,23€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks.
INGLÊS

Rethinking Innateness - A Connectionist Perspective On Development

de Annette Karmiloff-Smith, Domenico Parisi, Elizabeth Bates, Jeffrey Elman, Kim Plunkett e Mark H. Johnson

79,50€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 Rethinking Innateness asks the question, "What does it really mean to say that a behavior is innate?" The authors describe a new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors. These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way.One of the key contributions of Rethinking Innateness is a taxonomy of ways in which a behavior can be innate. These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.The ideas are explored through dynamic models inspired by a new kind of "developmental connectionism," a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to be enriched by closer attention to biology.

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