LEADER 04062nam 22008055 450 001 9910483821903321 005 20200701085312.0 010 $a3-642-39521-X 024 7 $a10.1007/978-3-642-39521-5 035 $a(CKB)2560000000105716 035 $a(DE-He213)978-3-642-39521-5 035 $a(SSID)ssj0000936360 035 $a(PQKBManifestationID)11508901 035 $a(PQKBTitleCode)TC0000936360 035 $a(PQKBWorkID)10962969 035 $a(PQKB)10022076 035 $a(MiAaPQ)EBC3101264 035 $a(PPN)170493342 035 $a(EXLCZ)992560000000105716 100 $a20130625d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial General Intelligence $e6th International Conference, AGI 2013, Beijing, China, July 31 -- August 3, 2013, Proceedings /$fedited by Kai-Uwe Kühnberger, Sebastian Rudolph, Pei Wang 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XII, 207 p. 39 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7999 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-39520-1 320 $aIncludes bibliographical references and index. 330 $aThis book constitutes the refereed proceedings of the 6th International Conference on Artificial General Intelligence, AGI 2013, held in Beijing, China, in July/August 2013. The 23 papers (17 full papers, 3 technical communications, and 3 special session papers) were carefully reviewed and selected from various submissions. The volume collects the current research endeavors devoted to develop formalisms, algorithms, and models, as well as systems that are targeted at general intelligence. Similar to the predecessor AGI conferences, researchers proposed different methodologies and techniques in order to bridge the gap between forms of specialized intelligence and general intelligence. 410 0$aLecture Notes in Artificial Intelligence ;$v7999 606 $aArtificial intelligence 606 $aMathematical logic 606 $aPattern recognition 606 $aAlgorithms 606 $aApplication software 606 $aSoftware engineering 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 615 0$aArtificial intelligence. 615 0$aMathematical logic. 615 0$aPattern recognition. 615 0$aAlgorithms. 615 0$aApplication software. 615 0$aSoftware engineering. 615 14$aArtificial Intelligence. 615 24$aMathematical Logic and Formal Languages. 615 24$aPattern Recognition. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aSoftware Engineering. 676 $a006.3 702 $aKühnberger$b Kai-Uwe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRudolph$b Sebastian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Pei$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483821903321 996 $aArtificial General Intelligence$93371751 997 $aUNINA