LEADER 05266nam 22008055 450 001 9910726276903321 005 20240123191143.0 010 $a9783031311727$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(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$b[electronic resource] $eApplication Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R /$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 explain the 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 artificial psychology. 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 606 $aIntel·ligència artificial$2thub 606 $aPsicologia cognitiva$2thub 606 $aAprenentatge automàtic$2thub 608 $aLlibres electrònics$2thub 610 $aPsychology 615 0$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$aArtificial Intelligence. 615 7$aIntel·ligència artificial 615 7$aPsicologia cognitiva 615 7$aAprenentatge automàtic 676 $a150.72 700 $aFarahani$b Hojjatollah$01359511 701 $aBlagojevi?$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