Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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Learning in Natural and Connectionist Systems - Experiments and a Model (Hardcover, 1994 ed.)
Loot Price: R4,530
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Learning in Natural and Connectionist Systems - Experiments and a Model (Hardcover, 1994 ed.)
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Modern research in neural networks has led to powerful artificial
learning systems, while recent work in the psychology of human
memory has revealed much about how natural systems really learn,
including the role of unconscious, implicit, memory processes.
Regrettably, the two approaches typically ignore each other. This
book, combining the approaches, should contribute to their mutual
benefit. New empirical work is presented showing dissociations
between implicit and explicit memory performance. Recently proposed
explanations for such data lead to a new connectionist learning
procedure: CALM (Categorizing and Learning Module), which can learn
with or without supervision, and shows practical advantages over
many existing procedures. Specific experiments are simulated by a
network model (ELAN) composed of CALM modules. A working memory
extension to the model is also discussed that could give it symbol
manipulation abilities. The book will be of interest to memory
psychologists and connectionists, as well as to cognitive
scientists who in the past have tended to restrict themselves to
symbolic models.
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