LEADER 01024nam2-22003131i-450- 001 990005636100403321 005 20070105101954.0 035 $a000563610 035 $aFED01000563610 035 $a(Aleph)000563610FED01 035 $a000563610 100 $a19990604d1964----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ayf------00--- 200 1 $a<>stuccatori dal Barocco al Rococó$fpubblicazione curata da Edoardo Arslan 210 $aComo$cCasa Editrice Antonio Noseda$d1964 215 $aXV, 376 p., 187 tav.$d25 cm 461 0$1001000563600$12001$aArte e artisti dei laghi lombardi$fpubblicazione curata da Edoardo Arslan 676 $a709.452$v21$zita 702 1$aArslan,$bEdoardo$f<1899-1968> 710 02$aSocietą archeologica comense$0209076 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005636100403321 952 $a709.452 ARTE 1 (2)$bST.ARTE 6648$fFLFBC 959 $aFLFBC 996 $aStuccatori dal Barocco al Rococó$9605289 997 $aUNINA LEADER 01214nam--2200373---450- 001 990005898540203316 005 20131017110144.0 010 $a978-88-348-1821-3 035 $a000589854 035 $aUSA01000589854 035 $a(ALEPH)000589854USA01 035 $a000589854 100 $a20131017d2013----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<>metamorfosi del ruolo del Presidente del Governo nel sistema parlamentare spagnolo$esaggio sulle interpretazioni della premiership spagnola$fa cura di Luigi Primicerio 210 $aTorino$cGiappichelli$d2013 215 $a82 p.$d23 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aDiritto costituzionale$ySpagna$2BNCF 676 $a342.4602 702 1$aPRICIMERIO,$bLuigi 801 0$aIT$bsalbc$gISBD 912 $a990005898540203316 951 $aXXIV.2.M. 417$b77662 G.$cXXIV.2.M.$d00294949 959 $aBK 969 $aGIU 979 $aFIORELLA$b90$c20131017$lUSA01$h1050 979 $aFIORELLA$b90$c20131017$lUSA01$h1101 996 $aMetamorfosi del ruolo del Presidente del Governo nel sistema parlamentare spagnolo$91075197 997 $aUNISA LEADER 04967nam 22007335 450 001 9910726276903321 005 20251008153438.0 010 $a9783031311727$b(electronic bk.) 010 $z9783031311710 024 7 $a10.1007/978-3-031-31172-7 035 $a(MiAaPQ)EBC30546046 035 $a(Au-PeEL)EBL30546046 035 $a(OCoLC)1380463465 035 $a(DE-He213)978-3-031-31172-7 035 $a(BIP)089944766 035 $a(CKB)26711707300041 035 $a(EXLCZ)9926711707300041 100 $a20230518d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aAn Introduction to Artificial Psychology $eApplication Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R /$fby Hojjatollah Farahani, Marija Blagojevi?, Parviz Azadfallah, Peter Watson, Forough Esrafilian, Sara Saljoughi 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (262 pages) 311 08$aPrint version: Farahani, Hojjatollah An Introduction to Artificial Psychology Cham : Springer International Publishing AG,c2023 9783031311710 327 $aIntroduction Chapter 1: After Method -- Chapter 2: Overview on Mathematical Basis of Fuzzy Set Theory. - Chapter 3: Fuzzy Inference Systems (FIS) -- Chapter 4: Fuzzy Cognitive Maps(FCM) -- Chapter 5: Network analysis -- Chapter 6: Association Rules Mining and Associative Classification -- Chapter 7: Artificial Neural Network -- Chapter 8: Feature Selection -- Chapter 9: Cluster analysis. 330 $aArtificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explainthe set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificialpsychology. This book implements models using R software. 606 $aPsychology 606 $aCognitive psychology 606 $aCognitive science 606 $aMachine learning 606 $aArtificial intelligence 606 $aBehavioral Sciences and Psychology 606 $aCognitive Psychology 606 $aCognitive Science 606 $aMachine Learning 606 $aArtificial Intelligence 615 0$aPsychology. 615 0$aCognitive psychology. 615 0$aCognitive science. 615 0$aMachine learning. 615 0$aArtificial intelligence. 615 14$aBehavioral Sciences and Psychology. 615 24$aCognitive Psychology. 615 24$aCognitive Science. 615 24$aMachine Learning. 615 24$aArtificial Intelligence. 676 $a150.72 676 $a150.72 700 $aFarahani$b Hojjatollah$01359511 701 $aBlagojevic?$b Marija$01359512 701 $aAzadfallah$b Parviz$01359513 701 $aWatson$b Peter$01359514 701 $aEsrafilian$b Forough$01359515 701 $aSaljoughi$b Sara$01359516 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910726276903321 996 $aAn Introduction to Artificial Psychology$93373996 997 $aUNINA