LEADER 03644nam 22006015 450 001 9910558499403321 005 20230131113623.0 010 $a9783030943790$b(electronic bk.) 010 $z9783030943783 024 7 $a10.1007/978-3-030-94379-0 035 $a(MiAaPQ)EBC6944946 035 $a(Au-PeEL)EBL6944946 035 $a(CKB)21459567900041 035 $a(DE-He213)978-3-030-94379-0 035 $a(PPN)262168715 035 $a(EXLCZ)9921459567900041 100 $a20220401d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Few Things I Know About Her $eA Personally Machine Learning Inspired Approach to Understand Surrounding Nature /$fby Bruno Apolloni 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (211 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v219 311 08$aPrint version: Apolloni, Bruno A Few Things I Know about Her Cham : Springer International Publishing AG,c2022 9783030943783 320 $aIncludes bibliographical references. 327 $aGenome + synapses -- What I can understand, what I can?t -- Data first -- How to tackle difficult to understand phenomena. Fuzziness, cognitivity, memory. 330 $aThis book reconsiders key issues, such as description and explanation, which affect data analytics. For starters: the soul does not exist. Once released from this cumbersome roommate, we are left with complex biological systems: namely, ourselves, who must configure their environment in terms of worlds that are compatible with what they sense. Far from supplying yet another cosmogony, the book provides the cultivated reader with computational tools for describing and understanding data arising from his surroundings, such as climate parameters or stock market trends, even the win/defeat story of his son football team. Besides the superposition of the very many universes considered by quantum mechanics, we aim to manage families of worlds that may have generated those data through the key feature of their compatibility. Starting from a sharp engineering of ourselves in term of pairs consisting of genome plus a neuron ensemble, we toss this feature in different cognitive frameworks within a span of exploitations ranging from probability distributions to the latest implementations of machine learning. From the perspective of human society as an ensemble of the above pairs, the book also provides scientific tools for analyzing the benefits and drawbacks of the modern paradigm of the world as a service. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v219 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeural networks (Computer science) 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a006.3 676 $a006.3 700 $aApolloni$b Bruno$f1946-$079236 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910558499403321 996 $aA Few Things I Know about Her$92824691 997 $aUNINA