03316nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245019000235250001800425264006900443300006700512336002600579337002600605338003600631347002400667490006100691520116000752650003901912650003601951650004901987650003902036650003602075650007502111700015802186700015002344710003402494773002602528776003602554776003602590776003602626830006802662856004602730912001402776912001502790999001702805978-3-031-76516-2DE-He21320251030114609.0cr nn 008mamaa241209s2024    sz |    s    |||| 0|eng d  a97830317651629978-3-031-76516-27 a10.1007/978-3-031-76516-22doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aBiologically Inspired Cognitive Architectures 2024h[electronic resource] :bProceedings of the 15th Annual Meeting of the BICA Society /cedited by Alexei V. Samsonovich, Tingting Liu.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVII, 460 p. 146 illus., 95 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Computational Intelligence,x1860-9503 ;v477  aThis book reports on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2024 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 15th Annual Meeting of the BICA Society, BICA*AI 2024), organized in collaboration with the 17th Conference on Artificial General Intelligence (AGI 2024) and held on August 13-16, 2024, in Seattle, WA, USA. They cover 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, this 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. 0aComputational intelligence.964052 0aArtificial intelligence.958441 0aNeural networks (Computer science) .96423114aComputational Intelligence.96405224aArtificial Intelligence.95844124aMathematical Models of Cognitive Processes and Neural Networks.9658601 aSamsonovich, Alexei V.eeditor.0(orcid)0000-0003-4788-44081https://orcid.org/0000-0003-4788-44084edt4http://id.loc.gov/vocabulary/relators/edt9709641 aLiu, Tingting.eeditor.0(orcid)0000-0002-3469-275X1https://orcid.org/0000-0002-3469-275X4edt4http://id.loc.gov/vocabulary/relators/edt9709652 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303176515508iPrinted edition:z978303176517908iPrinted edition:z9783031765186 0aStudies in Computational Intelligence,x1860-9503 ;v47796885440uhttps://doi.org/10.1007/978-3-031-76516-2  aZDB-2-INR  aZDB-2-SXIT  c65579d65579