Modeling and Analysis of Artificial Auction Markets Consisting of Multi-agents using Genetic Programming for Learning and its Applications
スポンサーリンク
概要
著者
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Tokinaga Shozo
Graduate School Of Economics Kyushu University
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Tokinaga Shozo
Graduate School Economics Kyushu University
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IKEDA Yoshikazu
Faculty of Economics, Shinshu University
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Ikeda Yoshikazu
Faculty Of Economics Shinshu University
関連論文
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- Chaoticity and Fractality Analysis of an Artificial Stock Market Generated by the Multi-Agent Systems Based on the Co-evolutionary Genetic Programming(Nonlinear Theory and its Applications)
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- Dynamic Asset Allocation with Event Risks under Value-at-Risk Regulation
- Syntactical Recognition Systems of Time Series based on the Genetic Programming and its Applications to Clustering of Stock Prices
- Analysis of Price Fluctuation in Double Auction Markets consisting of Multi-agents using the Genetic Programming for Learning
- Real Options with Risk Aversion Using Tradable Asset in Project Management
- Improved Estimation of Tail Distribution of Link Delays by Using Networks Tomography Based on the Genetic Programming and the Importance Sampling
- Modeling and Analysis of Artificial Auction Markets Consisting of Multi-agents using Genetic Programming for Learning and its Applications
- Estimation of the Chaotic Ordinary Differential Equations by Co-evolutional Genetic Programming