LEADER 03022nam 22006255 450 001 9910484203703321 005 20251230061225.0 010 $a3-030-25719-3 024 7 $a10.1007/978-3-030-25719-4 035 $a(CKB)4100000008707554 035 $a(MiAaPQ)EBC5830044 035 $a(DE-He213)978-3-030-25719-4 035 $a(PPN)243766688 035 $a(EXLCZ)994100000008707554 100 $a20190716d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiologically Inspired Cognitive Architectures 2019 $eProceedings of the Tenth Annual Meeting of the BICA Society /$fedited by Alexei V. Samsonovich 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (636 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v948 311 08$a3-030-25718-5 330 $aThe book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v948 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeurosciences 606 $aCognitive psychology 606 $aBiometric identification 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aNeuroscience 606 $aCognitive Psychology 606 $aBiometrics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeurosciences. 615 0$aCognitive psychology. 615 0$aBiometric identification. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aNeuroscience. 615 24$aCognitive Psychology. 615 24$aBiometrics. 676 $a006 676 $a006.38 702 $aSamsonovich$b Alexei V$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910484203703321 996 $aBiologically Inspired Cognitive Architectures 2019$91995430 997 $aUNINA