LEADER 00731nam a2200241 i 4500 001 991004381338007536 005 20250513090229.0 008 250513s2006 it er 001 0 ita d 020 $a8804549742 040 $aBibl. Dip.le Aggr. Studi Umanistici - Sez. Filosofia$bita$cSocioculturale Scs 041 0 $aita 082 04$a920.045$223 100 1 $aCazzullo, Aldo$0474490 245 12$aI grandi vecchi :$btrentatré incontri in Italia /$cCazzullo, Aldo 260 $aMilano :$bMondadori,$c2006 300 $a228 p. ;$c23 cm 490 1 $aFrecce 650 4$aDonne celebri italiane 650 4$aUomini celebri italiani 830 0$aFrecce 912 $a991004381338007536 996 $aGrandi vecchi$94378515 997 $aUNISALENTO LEADER 03608nam 22005535 450 001 9910150402403321 005 20251230065654.0 010 $a3-319-49049-4 024 7 $a10.1007/978-3-319-49049-6 035 $a(CKB)3710000000943447 035 $a(DE-He213)978-3-319-49049-6 035 $a(MiAaPQ)EBC4737158 035 $a(PPN)19713954X 035 $a(EXLCZ)993710000000943447 100 $a20161108d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent and Evolutionary Systems $eThe 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings /$fedited by George Leu, Hemant Kumar Singh, Saber Elsayed 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 510 p.) 225 1 $aProceedings in Adaptation, Learning and Optimization,$x2363-6092 ;$v8 311 08$a3-319-49048-6 320 $aIncludes bibliographical references and index. 327 $aFrom the Content,- An Evolutionary Optimization approach for Path Planning of Arrival Aircraft for Optimal Sequencing -- A Game-Theoretic Approach to the Analysis of Traffic Assignment -- Simulation of Darwin?s and Lamarck?s Theories of Evolution Using. 330 $aOver the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10 years ago, statistical machine intelligence was on the rise, heavily supported by the digital computing, and led to the unprecedented advances in and dependence on digital technology. However, the resultant intelligent systems remained designer-based endeavors and thus, were limited in their true learning and development abilities. Today, the challenge is to have in placeintelligent systems that can develop themselves on behalf of their creators, and gain abilities with no or limited supervision in the tasks they are meant to perform. Cognitive development systems, and the supporting cognitive computing are on the rise today, promising yet other significant achievements for the future of human kind. This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last two decades, offering to the reader a broad view over the field, while providing a solid foundation from which outstanding new ideas may emerge. 410 0$aProceedings in Adaptation, Learning and Optimization,$x2363-6092 ;$v8 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a005.8 702 $aLeu$b George$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSingh$b Hemant Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aElsayed$b Saber$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910150402403321 996 $aIntelligent and Evolutionary Systems$91542873 997 $aUNINA