Complexity and Artificial Markets
In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision ma...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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Σειρά: | Lecture Notes in Economics and Mathematical Systems,
614 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Market Mechanisms
- Zero-Intelligence Trading Without Resampling
- Understanding the Price Dynamics of a Real Market Using Simulations: The Dutch Auction of the Pescara Wholesale Fish Market
- Market Behavior Under Zero-Intelligence Trading and Price Awareness
- Evolution and Decision Making
- Evolutionary Switching between Forecasting Heuristics: An Explanation of an Asset-Pricing Experiment
- Prospect Theory Behavioral Assumptions in an Artificial Financial Economy
- Computing the Evolution of Walrasian Behaviour
- Multidimensional Evolving Opinion for Sustainable Consumption Decision
- Information Economics
- Local Interaction, Incomplete Information and Properties of Asset Prices
- Long-Term Orientation in Trade
- Agent-Based Experimental Economics in Signaling Games
- Methodological Issues
- Why do we need Ontology for Agent-Based Models?
- Production and Finance in EURACE
- Serious Games for Economists
- Invited Speakers
- Computational Evolution
- Artificial Markets: Rationality and Organisation.