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...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Understanding Complex Systems
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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