LEADER 04588nam 22007455 450 001 9910438058003321 005 20251230061602.0 010 $a9781283912297 010 $a1283912295 010 $a9783642342745 010 $a3642342744 024 7 $a10.1007/978-3-642-34274-5 035 $a(CKB)3400000000086290 035 $a(EBL)1082792 035 $a(OCoLC)812452660 035 $a(SSID)ssj0000766945 035 $a(PQKBManifestationID)11414483 035 $a(PQKBTitleCode)TC0000766945 035 $a(PQKBWorkID)10739312 035 $a(PQKB)10185638 035 $a(DE-He213)978-3-642-34274-5 035 $a(MiAaPQ)EBC1082792 035 $a(PPN)168326574 035 $a(EXLCZ)993400000000086290 100 $a20120930d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBiologically Inspired Cognitive Architectures 2012 $eProceedings of the Third Annual Meeting of the BICA Society /$fedited by Antonio Chella, Roberto Pirrone, Rosario Sorbello, Kamilla Rún Jóhannsdóttir 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (360 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v196 300 $aDescription based upon print version of record. 311 08$a9783642342738 311 08$a3642342736 320 $aIncludes bibliographical references and index. 327 $aBack to Basics and Forward to Novelty in Machine -- Characterizing and Assessing Human-like behavior in Cognitive -- Architects or Botanists? The relevance of (neuronal) trees to model -- Consciousness and the Quest for Sentient -- Biological uctuation \Yuragi" as the principle of bio-inspired -- Active learning by selecting new training samples from unlabelled -- Biologically Inspired Beyond Neural. Bene ts of Multiple Modeling Levels -- Turing and de Finetti Ganes -- Machines making us. 330 $aThe challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here ?biologically inspired? is understood broadly as ?brain-mind inspired?). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may ?speak different languages?. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective ? creating one unifying widespread framework for the human-level cognitive architectures and their implementations. This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v196 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeurosciences 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aNeuroscience 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeurosciences. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aNeuroscience. 676 $a004.1 676 $a006.3 701 $aChella$b Antonio$01328662 712 12$aAnnual International Conference Biologically Inspired Cognitive Architectures$f(2012) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438058003321 996 $aBiologically inspired cognitive architectures 2012$94193289 997 $aUNINA