000705038 000__ 03192cam\a2200457Ki\4500 000705038 001__ 705038 000705038 005__ 20230306135905.0 000705038 006__ m\\\\\o\\d\\\\\\\\ 000705038 007__ cr\un\nnnunnun 000705038 008__ 140528s2014\\\\gw\a\\\\o\\\\\000\0\eng\d 000705038 0167_ $$a016651158$$2Uk 000705038 020__ $$a9783642545160 $$qelectronic book 000705038 020__ $$a3642545165 $$qelectronic book 000705038 020__ $$z9783642545153 000705038 0247_ $$a10.1007/978-3-642-54516-0$$2doi 000705038 035__ $$aSP(OCoLC)ocn880632551 000705038 035__ $$aSP(OCoLC)880632551 000705038 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKMGB$$dCOO 000705038 049__ $$aISEA 000705038 050_4 $$aQ334$$b.C66 2014 000705038 08204 $$a006.3$$223 000705038 24500 $$aComputational approaches to analogical reasoning :$$bcurrent trends /$$cHenri Prade, Gilles Richard, editors. 000705038 264_1 $$aHeidelberg :$$bSpringer,$$c2014. 000705038 300__ $$a1 online resource (x, 395 pages) :$$billustrations (some color). 000705038 336__ $$atext$$btxt$$2rdacontent 000705038 337__ $$acomputer$$bc$$2rdamedia 000705038 338__ $$aonline resource$$bcr$$2rdacarrier 000705038 4901_ $$aStudies in Computational Intelligence,$$x1860-949X ;$$vvolume 548 000705038 506__ $$aAccess limited to authorized users. 000705038 520__ $$aAnalogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade. The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography. The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures. Lastly, the volume reports case studies and discussions about the use of similarity judgments and the process of analogy making, at work in IQ tests, creativity or other cognitive tasks. This volume gathers fully revised and expanded versions of papers presented at an international workshop? as well as invited contributions. All chapters have benefited of a thorough peer review process. 000705038 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed May 28, 2014). 000705038 650_0 $$aArtificial intelligence. 000705038 650_0 $$aAnalogy. 000705038 650_0 $$aReasoning. 000705038 7001_ $$aPrade, Henri M.,$$eeditor. 000705038 7001_ $$aRichard, Gilles$$c(Computer scientist),$$eeditor. 000705038 830_0 $$aStudies in computational intelligence ;$$v548.$$x1860-949X 000705038 85280 $$bebk$$hSpringerLink 000705038 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-642-54516-0$$zOnline Access 000705038 909CO $$ooai:library.usi.edu:705038$$pGLOBAL_SET 000705038 980__ $$aEBOOK 000705038 980__ $$aBIB 000705038 982__ $$aEbook 000705038 983__ $$aOnline 000705038 994__ $$a92$$bISE