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Computational Approaches to...
Analogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade. The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography. The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures. Lastly, the volume reports case studies and discussions about the use of similarity judgments and the process of analogy making, at work in IQ tests, creativity or other cognitive tasks. This volume gathers fully revised and expanded versions of papers presented at an international workshop, as well as invited contributions. All chapters have benefited of a thorough peer review process
Monografía
monografia Rebiun36092633 https://catalogo.rebiun.org/rebiun/record/Rebiun36092633 m o d | cr nn 008mamaa 140322s2014 gw s 00 0 eng d 9783642545160 9783642545177 9783642545153 9783662523643 10.1007/978-3-642-54516-0 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Computational Approaches to Analogical Reasoning: Current Trends Recurso electrónico] edited by Henri Prade, Gilles Richard Berlin, Heidelberg Springer Berlin Heidelberg 2014 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg Imprint: Springer 2014 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg Imprint: Springer X, 395 p. 105 il., 18 il. col X, 395 p. 105 il., 18 il. col Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 548 Bibliographic Level Mode of Issuance: Monograph Part I Analogy in action -- Part II Modeling analogy -- Part III From cognition to computational experiments Analogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade. The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography. The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures. Lastly, the volume reports case studies and discussions about the use of similarity judgments and the process of analogy making, at work in IQ tests, creativity or other cognitive tasks. This volume gathers fully revised and expanded versions of papers presented at an international workshop, as well as invited contributions. All chapters have benefited of a thorough peer review process English Engineering Artificial intelligence Computational Intelligence. Artificial Intelligence. Engineering Artificial intelligence Computational Intelligence Artificial Intelligence Prade, Henri ed. lit Richard, Gilles ed. lit 3-642-54515-7 Studies in Computational Intelligence 548