LEADER 01140nam0 2200325 450 001 000020514 005 20071116101954.0 010 $a88-7232-332-0 100 $a20071001d1999----km-y0itaa50------ba 101 1 $aita$afre 102 $aIT 200 1 $aDal naturale della mano$epoesie$fHenry Bauchau$ga cura di Adriano Marchetti 210 $aCastel Maggiore (Bo)$cBook Editore$dc1999 215 $a144 p.$c1 ritr.$d21 cm 225 2 $aSerendip$v[15] 300 $aTesto orig. a fronte 410 1$12001$aSerendip$v[15] 676 $a841.914$v(21. ed.)$9Poesia francese. 1945-1999 700 1$aBauchau,$bHenry$0439981 702 1$aMarchetti,$bAdriano 801 0$aIT$bUniversità della Basilicata - B.I.A.$gRICA$2unimarc 912 $a000020514 996 $aDal naturale della mano$985805 997 $aUNIBAS BAS $aLETTERE CAT $aSTD050$b01$c20071001$lBAS01$h1238 CAT $aTTM$b30$c20071031$lBAS01$h1118 CAT $aTTM$b30$c20071116$lBAS01$h1019 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA1$APolo Storico-Umanistico$2FBG$BFondo Belga$3FBel/106129$6106129$5L106129$820071023$f04$FPrestabile Didattica LEADER 05559nam 22008775 450 001 9910672436903321 005 20251217155700.0 010 $a9783031152948$b(electronic bk.) 010 $z9783031152931 024 7 $a10.1007/978-3-031-15294-8 035 $a(MiAaPQ)EBC7202753 035 $a(Au-PeEL)EBL7202753 035 $a(CKB)26154724200041 035 $a(DE-He213)978-3-031-15294-8 035 $a(PPN)268205183 035 $a(EXLCZ)9926154724200041 100 $a20230215d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence, Learning and Computation in Economics and Finance /$fedited by Ragupathy Venkatachalam 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (331 pages) 225 1 $aUnderstanding Complex Systems,$x1860-0840 311 08$aPrint version: Venkatachalam, Ragupathy Artificial Intelligence, Learning and Computation in Economics and Finance Cham : Springer International Publishing AG,c2023 9783031152931 320 $aIncludes bibliographical references. 327 $aPerspectives from the Development of Agent-based Modelling in Economics and Finance -- Towards a General Model of Financial Markets -- The U-Mart Futures Exchange Experiment and Her Institutional Design Historically Inherited -- A Bottom-Up Framework for Data-Driven Agent-Based Simulations -- Can News Networks and Topics Influence Assets Return and Volatility? -- Causal Inference and Agent-Based Models -- Finding the Human in Their Stories: Some Thoughts on Digital Humanities Tools -- Interdependence Overcomes the Limitations of Rational Theories of Collective Behavior: The Productivity of Patents by Nations -- Sand Castles and Financial Systems.-Estimation of Agent-Based Models via Approximate Bayesian Computation -- Unravelling Aspects of Decision Making Under Uncertainty -- Logic and Epistemology in Behavioral Economics -- Aggregate Investor Attention and Bitcoin Return: The Machine Learning Approach -- Information and Market Power: An Experimental Investigation into the Hayek Hypothesis -- Algorithmically Learning, Creatively and Intelligently to Play Games -- A Simonian Formalistic Perspective on Collaborative, Distributed Invention -- Modified Sraffan Schemes and Algorithmic Rational Agents. 330 $aThis book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis. 410 0$aUnderstanding Complex Systems,$x1860-0840 606 $aEconomics 606 $aMathematical physics 606 $aComputer science 606 $aDynamics 606 $aNonlinear theories 606 $aComputer engineering 606 $aComputer networks 606 $aSocial sciences$xMathematics 606 $aEconomics 606 $aTheoretical, Mathematical and Computational Physics 606 $aComputer Science 606 $aApplied Dynamical Systems 606 $aComputer Engineering and Networks 606 $aMathematics in Business, Economics and Finance 606 $aEconomia$2thub 606 $aProcessament de dades$2thub 606 $aIntel·ligència artificial$2thub 608 $aLlibres electrònics$2thub 615 0$aEconomics. 615 0$aMathematical physics. 615 0$aComputer science. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSocial sciences$xMathematics. 615 14$aEconomics. 615 24$aTheoretical, Mathematical and Computational Physics. 615 24$aComputer Science. 615 24$aApplied Dynamical Systems. 615 24$aComputer Engineering and Networks. 615 24$aMathematics in Business, Economics and Finance. 615 7$aEconomia 615 7$aProcessament de dades 615 7$aIntel·ligència artificial 676 $a332.028563 676 $a330.028563 702 $aVenkatachalam$b Ragupathy 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910672436903321 996 $aArtificial Intelligence, Learning and Computation in Economics and Finance$93044691 997 $aUNINA