LEADER 04055nam 2200709 a 450 001 9910971607703321 005 20251117002859.0 010 $a9786612194481 010 $a9781282194489 010 $a1282194488 010 $a9783110198560 010 $a3110198568 024 7 $a10.1515/9783110198560 035 $a(CKB)1000000000691465 035 $a(EBL)364667 035 $a(OCoLC)437233352 035 $a(SSID)ssj0000132153 035 $a(PQKBManifestationID)11160723 035 $a(PQKBTitleCode)TC0000132153 035 $a(PQKBWorkID)10027547 035 $a(PQKB)10804337 035 $a(MiAaPQ)EBC364667 035 $a(DE-B1597)33872 035 $a(OCoLC)979583675 035 $a(DE-B1597)9783110198560 035 $a(Au-PeEL)EBL364667 035 $a(CaPaEBR)ebr10256450 035 $a(CaONFJC)MIL219448 035 $a(Perlego)654780 035 $a(EXLCZ)991000000000691465 100 $a20070822d2007 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCreativity and artificial intelligence $ea conceptual blending approach /$fby Francisco Camara Pereira 205 $a1st ed. 210 $aBerlin ;$aNew York $cMouton de Gruyter$dc2007 215 $a1 online resource (264 p.) 225 1 $aApplications of cognitive linguistics,$x1861-4078 ;$v4 300 $aDescription based upon print version of record. 311 08$a9783110186093 311 08$a3110186098 320 $aIncludes bibliographical references (p. [239]-249) and index. 327 $t Frontmatter -- $tContents -- $tChapter 1 Introduction -- $tChapter 2 Creativity -- $tChapter 3 Working with Concepts -- $tChapter 4 A Model of Concept Invention -- $tChapter 5 Divago -- $tChapter 6 Experiments -- $tChapter 7 Conclusions and Future Directions -- $t Backmatter 330 $aCreativity and Artificial Intelligence: A Conceptual Blending Approach takes readers into a computationally plausible model of creativity. Inspired by a thorough analysis of work on creativity from the areas of philosophy, psychology, cognitive science, cognitive linguistics and artificial intelligence, the author deals with the various processes, principles and representations that lie underneath the act of creativity. Focusing on Arthur Koestler's Bisociations, which eventually lead to Turner and Fauconnier's conceptual blending framework, the book proposes a theoretical model that considers blends and their emergent structure as a fundamental cognitive mechanism. The author thus discusses the computational implementation of several aspects of conceptual blending theory, namely composition, completion, elaboration, frames and optimality constraints. Informal descriptions and examples are supplied to provide non-computer scientists as well as non-cognitive linguists with clear insights into these ideas. Several experiments are made, and their results are discussed, with particular emphasis on the validation of the creativity and conceptual blending aspects. Written by a researcher with a background in artificial intelligence, the book is the result of several years of exploration and discussion from different theoretical perspectives. As a result, the book echoes some of the criticism made on conceptual blending and creativity in artificial intelligence, and thus proposes improvements in both areas, with the aim of being a constructive contribution to these very intriguing, yet appealing, research orientations. 410 0$aApplications of cognitive linguistics ;$v4. 606 $aCreativity (Linguistics) 606 $aArtificial intelligence 615 0$aCreativity (Linguistics) 615 0$aArtificial intelligence. 676 $a401/.41 686 $aER 900$qSEPA$2rvk 700 $aPereira$b Francisco Ca?mara$f1972-$01892179 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910971607703321 996 $aCreativity and artificial intelligence$94537253 997 $aUNINA