Advances in Artificial Economics The Economy as a Complex Dynamic System
Perceiving the economy as a complex dynamic system, generates a need for new tools for its study. As a constructive simulation method, Agent-Based Computational Economics (ACE) has in recent years proven its strength and extensive applicability. Fields of study are widely spread within economics, wi...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2006, 2006
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| Edition: | 1st ed. 2006 |
| Series: | Lecture Notes in Economics and Mathematical Systems
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Market Structure and Economic Behaviour
- Heterogeneous Beliefs Under Different Market Architectures
- The Allocative Effectiveness of Market Protocols Under Intelligent Trading
- Strategic Behaviour in Continuous Double Auction
- Market Efficiency and the Role of Speculation
- A Broad-Spectrum Computational Approach for Market Efficiency
- The Dynamics of Quote Prices in an Artificial Financial Market with Learning Effects
- Reduction of the Bullwhip Effect in Supply Chains Through Speculation
- Firm-Consumer Dynamics
- Co-evolutionary Market Dynamics in a Peaked Resource Space
- E-Consumers’ Search and Emerging Structure of Web-Sites Coalitions
- Agent Based Modeling of Trust Between Firms in Markets
- Investigations into Schumpeterian Economic Behaviour Using Swarm
- Social Interaction - Network Effects
- The Wisdom of Networked Evolving Agents
- Artificial Multi-Agent Stock Markets: Simple Strategies, Complex Outcomes
- Market Polarization in Presence of Individual Choice Volatility
- Is Ignoring Public Information Best Policy? Reinforcement Learning in Information Cascade
- Social Interaction - Connectivity
- Complex Behaviours in Binary Choice Model with Global or Local Social Influence
- Dynamics of a Public Investment Game: from Nearest-Neighbor Lattices to Small-World Networks
- Social Norms, Cognitive Dissonance and Broadcasting: How to Influence Economic Agents
- Methodological Issues and Their Application
- Confronting Agent-Based Models with Data: Methodological Issues and Open Problems
- Equilibrium Return and Agents’ Survival in a Multiperiod Asset Market: Analytic Support of a Simulation Model
- Explaining the Statistical Features of the Spanish Stock Market from the Bottom-Up