About the Author
By Armand Prieditis
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Inside This Book
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First Sentence:
This article describes a method for learning by analogy - i.e., for proposing new conjectures about a target analogue based on facts known about a source analogue. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
analogical inference process, useful analogical inference, relevant causal network, analogical hint, analogy formulae, ship plowed through the sea, target instantiation, incremental analogical reasoning, target analogue, source instantiation, implicative complex, systematicity principle, candidate inferences, analogy engine, object preconditions, analogical processing, target domain, situation templates, semantic transference, global matches, analogical access, source domain, box analogy, object correspondences, analogical learning Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Science, Positing Structure, New York, Technical Report, Cognitive Science, Rutgers University, Ohm's Law, Lindley Darden, Resistance Resistors, Russell Greiner, Lawrence Erlbaum Associates, Los Altos, Morgan Kaufmann, Palo Alto, Stanford University, University of Illinois, University of Maryland, Yale University, Carnegie-Mellon University, College Park, Dedre Gentner, Indiana Univ, New Brunswick, Roy Rada, University of California New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
This article describes a method for learning by analogy - i.e., for proposing new conjectures about a target analogue based on facts known about a source analogue. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
analogical inference process, useful analogical inference, relevant causal network, analogical hint, analogy formulae, ship plowed through the sea, target instantiation, incremental analogical reasoning, target analogue, source instantiation, implicative complex, systematicity principle, candidate inferences, analogy engine, object preconditions, analogical processing, target domain, situation templates, semantic transference, global matches, analogical access, source domain, box analogy, object correspondences, analogical learning Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Science, Positing Structure, New York, Technical Report, Cognitive Science, Rutgers University, Ohm's Law, Lindley Darden, Resistance Resistors, Russell Greiner, Lawrence Erlbaum Associates, Los Altos, Morgan Kaufmann, Palo Alto, Stanford University, University of Illinois, University of Maryland, Yale University, Carnegie-Mellon University, College Park, Dedre Gentner, Indiana Univ, New Brunswick, Roy Rada, University of California New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 83
books:
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- Machine Learning by Tom M. Mitchell on 15 pages
- Artificial Intelligence (3rd Edition) by Winston on 5 pages
- Artificial Intelligence by Elaine Rich on 4 pages
- Metaphor and Thought by Andrew Ortony on 4 pages
- How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library) by G. Polya on 4 pages
See all 83 books this book cites
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