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OverviewRarely do research paths diverge and converge as neatly and productively as the paths exemplified by the two efforts contained in this book. The story behind these researches is worth recounting. The story, as far as I'm concerned, starts back in the Fall of1976, when John Laird and Paul Rosenbloom, as new graduate students in computer science at Carnegie-Mellon University, joined the Instructible Production System (IPS) project (Rychener, Forgy, Langley, McDermott, Newell, Ramakrishna, 1977; Rychener & Newell, 1978). In those days, production systems were either small or special or both (Newell, 1973; Shortliffe, 1976). Mike Rychener had just completed his thesis (Rychener, 1976), showing how production systems could effectively and perspicuously program the full array of artificial intelligence (AI) systems, by creating versions of Studellt (done in an earlier study, Rychener 1975), EPAM, GPS, King-Pawn-King endgames, a toy-blocks problem solver, and a natural-language input system that connected to the blocks-world system. Full Product DetailsAuthor: John Laird , Paul Rosenbloom , Allen NewellPublisher: Kluwer Academic Publishers Imprint: Kluwer Academic Publishers Edition: 1986 ed. Volume: 11 Dimensions: Width: 15.50cm , Height: 2.00cm , Length: 23.50cm Weight: 1.440kg ISBN: 9780898382136ISBN 10: 0898382130 Pages: 314 Publication Date: 30 April 1986 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 ContentsI. Universal Subgoaling.- 1. Introduction.- 2. The Soar Achitecture.- 3. Empirical Demonstration.- 4. Discussion.- 5. Conclusion.- II. The Chunking of Goal Hierarchies.- 1. Introduction.- 2. Practice.- 3. Stimulus-Response Compatibility.- 4. Goal-Structured Models.- 5. The Xaps3 Architecture.- 6. Simulation Results.- 7. Discussion.- 8. Conclusion.- III. Towards Chunking As A General Learning Mechanism.- 1. Introduction.- 2. Soar—A General Problem-Solving Architecture.- 3. Chunking in Soar.- 4. Demonstration.- 5. Conclusion.- Author Index.- I.- II.- III.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |