Artificial Intelligence, Learning and Computation in Economics and Finance / / Ragupathy Venkatachalam, editor |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (331 pages) |
Disciplina | 332.028563 |
Collana | Understanding Complex Systems Series |
Soggetto topico |
Artificial intelligence - Financial applications
Economics - Data processing Economia Processament de dades Intel·ligència artificial |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9783031152948
9783031152931 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Perspectives 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. |
Record Nr. | UNINA-9910672436903321 |
Cham, Switzerland : , : Springer, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Complex Systems Modeling and Simulation in Economics and Finance / / edited by Shu-Heng Chen, Ying-Fang Kao, Ragupathy Venkatachalam, Ye-Rong Du |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (308 pages) |
Disciplina | 330.0113 |
Collana | Springer Proceedings in Complexity |
Soggetto topico |
Economic theory
Sociophysics Econophysics System theory Artificial intelligence Economic Theory/Quantitative Economics/Mathematical Methods Data-driven Science, Modeling and Theory Building Complex Systems Artificial Intelligence |
ISBN | 3-319-99624-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Agent-Based Macro Models -- Laboratory Experiments -- Expectations and Learning -- The Cross-Strait: Computational and Behavioral Approach to Economics -- Quantitative Finance -- Theory of Heterogeneous Agents -- Modelling Economic Networks -- Computational Methods -- Agent-Based Models and Policy Design -- Agent-Based Models: Econometric issues and Validation -- Machine Learning in Finance -- Systemic Risks and Network Resilience -- House Prices and Mortgage Debt -- Dynamics of limit order markets -- Asset pricing and portfolio optimization -- Measuring risks in financial assets. |
Record Nr. | UNINA-9910299627103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|