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OverviewThe two volumes of ""Foundations of Knowledge Acquisition"" document the recent progress of basic research in knowledge acquisition sponsored by the Office of Naval Research. In this volume, significant progress in machine learning is reported along a variety of fronts. Chapters include work in analogical reasoning; induction and discovery; learning and planning; learning by competition, using genetic algorithms; and theoretical limitations. Knowledge acquisition as pursued under the ARI was a coordinated research thrust into both machine learning and human learning. Chapters in the accompanying volume ""Cognitive Models of Complex Learning"" include summaries of work by cognitive scientists who do computational modelling of human learning. In fact, an accomplishment of research previously sponsored by ONR's Cognitive Science Program was insight into the knowledge and skills that distinguish human novices from human experts in various domains; the cognitive interest in the ARI was then to characterize how the transition from novice to expert actually takes place. Full Product DetailsAuthor: Alan L. Meyrowitz , Susan ChipmanPublisher: Springer Imprint: Springer Edition: 1993 ed. Volume: 195 Dimensions: Width: 15.50cm , Height: 2.00cm , Length: 23.50cm Weight: 1.480kg ISBN: 9780792392781ISBN 10: 0792392787 Pages: 334 Publication Date: 31 January 1993 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsLearning = Inferencing + Memorizing.- Adaptive Inference.- On Integrating Machine Learning with Planning.- The Role of Self-Models in Learning to Plan.- Learning Flexible Concepts Using a Two-Tiered Representation.- Competition-Based Learning.- Problem Solving via Analogical Retrieval and Analogical Search Control.- A View of Computational Learning Theory.- The Probably Approximately Correct (PAC) and Other Learning Models.- On the Automated Discovery of Scientific Theories.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |