LEADER 03821nam 22005895 450 001 9910299728103321 005 20200701145655.0 010 $a9783642545160 010 $a3642545165 024 7 $a10.1007/978-3-642-54516-0 035 $a(CKB)3710000000095056 035 $a(DE-He213)978-3-642-54516-0 035 $a(SSID)ssj0001186853 035 $a(PQKBManifestationID)11703841 035 $a(PQKBTitleCode)TC0001186853 035 $a(PQKBWorkID)11241647 035 $a(PQKB)11020638 035 $a(MiAaPQ)EBC3092057 035 $a(PPN)177824980 035 $a(EXLCZ)993710000000095056 100 $a20140322d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Approaches to Analogical Reasoning: Current Trends /$fedited by Henri Prade, Gilles Richard 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (X, 395 p. 105 illus., 18 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v548 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642545153 311 08$a3642545157 327 $aPart I Analogy in action -- Part II Modeling analogy -- Part III From cognition to computational experiments. 330 $aAnalogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade. The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography. The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures. Lastly, the volume reports case studies and discussions about the use of similarity judgments and the process of analogy making, at work in IQ tests, creativity or other cognitive tasks. This volume gathers fully revised and expanded versions of papers presented at an international workshop? as well as invited contributions. All chapters have benefited of a thorough peer review process. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v548 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aPrade$b Henri$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRichard$b Gilles$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299728103321 996 $aComputational Approaches to Analogical Reasoning: Current Trends$91946470 997 $aUNINA