LEADER 04109nam 22005535 450 001 9910337948803321 005 20200704021906.0 010 $a3-030-03104-7 024 7 $a10.1007/978-3-030-03104-6 035 $a(CKB)4100000007938068 035 $a(MiAaPQ)EBC5788968 035 $a(DE-He213)978-3-030-03104-6 035 $a(PPN)235669377 035 $a(EXLCZ)994100000007938068 100 $a20190412d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBlended Cognition $eThe Robotic Challenge /$fedited by Jordi Vallverdú, Vincent C. Müller 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (307 pages) 225 1 $aSpringer Series in Cognitive and Neural Systems,$x2363-9105 ;$v12 311 $a3-030-03103-9 327 $aPreface -- Philosophy.-Blended cognition The robotic challenge -- Manipulative Abduction, External Semiotic Anchors, and Blended Cognition -- Practical Reasoning in the Deliberations of an Intelligent Autonomous Agent -- Blended Automation: The Language-Game of Psychoanalytic Automatism and Cybernetic Automata.-Engineering -- Can our Robots rely on an Emotionally Charged Vision-for- Action? An Embodied Model for Neurorobotics -- Modeling psycho-emotional states via neurosimulation of monoamine neuro-Transmitters -- Towards Conversation Envisioning for Cognitive Robots -- Psychology -- The blending of human and autonomous-machine cognition -- Heuristics of Numerical Choice in Economic Contexts -- Anthropology -- Towards autonomous artificial agents? Proposal for a naturalistic activity-based model of (artificial) life -- Logics -- Toward a Logic of Everyday Reasoning -- Index. 330 $aThis edited volume is about how unprejudiced approaches to real human cognition can improve the design of AI. It covers many aspects of human cognition and across 12 chapters the reader can explore multiple approaches about the complexities of human cognitive skills and reasoning, always guided by experts from different but complimentary academic fields. A central concept is explained: blended cognition, the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as ?bad reasoning?, is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: understanding better humans for designing better machines. Any person with interests on natural and artificial reasoning should read this book as a primary source of inspiration and a way to achieve a critical thinking on these topics. . 410 0$aSpringer Series in Cognitive and Neural Systems,$x2363-9105 ;$v12 606 $aNeurosciences 606 $aArtificial intelligence 606 $aApplication software 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aNeurosciences. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aNeurosciences. 615 24$aArtificial Intelligence. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a612.8 676 $a006.3 702 $aVallverdú$b Jordi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMüller$b Vincent C$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337948803321 996 $aBlended Cognition$91945692 997 $aUNINA