Artificial intelligence, learning and computation in economics and finance:
This 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 tool...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2023]
|
| Schriftenreihe: | Understanding Complex Systems
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| Schlagworte: | |
| Online-Zugang: | Cover Inhaltsverzeichnis |
| Zusammenfassung: | This 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 |
| Beschreibung: | xii, 325 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031152931 |
Internformat
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| 520 | 3 | |a This 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 | |
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Datensatz im Suchindex
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Contents 1 2 Computational Thinking in Economics and Finance: Introductory Remarks. Ragupathy Venkatachalam and Shu G. Wang 1 Vncomputabilities, Games, Axioms, Proofs and Artificial Intelligence . K. Vela Velupillai 13 3 Logic and Epistemology in Behavioral Economics . J. Barkley Rosser Jr. 4 Agent-Based Computational Economics: Overview and Brief History. Leigh Tesfatsion 27 41 5 Sequential Monte Carlo Squared for Agent-Based Models . Thomas Lux 59 6 Toward a General Model of Financial Markets. Nihad Aliyev and Xue-Zhong He 71 7 Sand Castles and Financial Systems: A Sandpile Metaphor . Francesco Luna 101 8 A Systematic Review of Investor Attention: Measurements, Implications, and Future Directions. Dehua Shen and Chen Wang 121 What is the Market? The Essential Teachings from an AI Market Experiment . Yuji Aruka 141 Market Power and the Hayek Hypothesis: An Experimental Investigation. Chung-Ching Tai and Bin-Tzong Chie 161 9 10 ix
Contents X 11 Counterfactual Thinking and Causal Mediation: An Application to Female Labour Force Participation in India . Sunil Mitra Kumar and Ying-Fang Kao 12 When Supply and Demand do NOT Meet: Sraffa’s Critique of Economic Theory Restated . Stefano Zambelli 207 13 Visualizing the Roles of Frequent Terms in LTEs Following Two Economic Crisis Trigger Articles . Brian J. Kokensparger 247 14 Design and Performance Metrics for Autonomous Human-Machine Teams and Systems (A-HMT-S) . W, F. Lawless 277 15 Thirty-Five Years of Computational Economics . Robert Marks 16 Extending Herbert Simon’s “Science of Design”: the Role of Collaboration and Users in Development of Technically Advanced Systems . Ben Vermeulen and Andreas Рука 307 187 291 |
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| series2 | Understanding Complex Systems |
| spelling | Artificial intelligence, learning and computation in economics and finance Ragupathy Venkatachalam, editor Cham Springer [2023] xii, 325 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Understanding Complex Systems This 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 Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf COMPUTERS / Computer Science COMPUTERS / Networking / General Economics Finance Finanzen MATHEMATICS / Applied Machine learning Maschinelles Lernen SCIENCE / General SCIENCE / Mathematical Physics TECHNOLOGY & ENGINEERING / Engineering (General) Wirtschaftswissenschaft (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Lernen (DE-588)4193754-5 s DE-604 Venkatachalam, Ragupathy (DE-588)1201694027 edt Äquivalent Druck-Ausgabe, Paperback 978-3-031-15296-2 Erscheint auch als Online-Ausgabe 978-3-031-15294-8 http://www.dietmardreier.de/annot/4B56696D677C7C39363033353730307C7C434F50.jpg?sq=5 Verlag Cover Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035153693&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Artificial intelligence, learning and computation in economics and finance Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4143413-4 |
| title | Artificial intelligence, learning and computation in economics and finance |
| title_auth | Artificial intelligence, learning and computation in economics and finance |
| title_exact_search | Artificial intelligence, learning and computation in economics and finance |
| title_full | Artificial intelligence, learning and computation in economics and finance Ragupathy Venkatachalam, editor |
| title_fullStr | Artificial intelligence, learning and computation in economics and finance Ragupathy Venkatachalam, editor |
| title_full_unstemmed | Artificial intelligence, learning and computation in economics and finance Ragupathy Venkatachalam, editor |
| title_short | Artificial intelligence, learning and computation in economics and finance |
| title_sort | artificial intelligence learning and computation in economics and finance |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Maschinelles Lernen Aufsatzsammlung |
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