1 Historical Reviews Around Evolving Ideas of the Invisible Hand |
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1 | (34) |
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1.1 Modern Technology and the Rise of the Service Economy |
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1 | (6) |
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1.1.1 The Classical Production Scheme |
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2 | (2) |
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1.1.2 A New Production Scheme in View of the Dominance of the Service Economy |
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4 | (3) |
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1.2 The Doctrines of Political Economy in the Anglo-Saxon Tradition |
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7 | (2) |
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1.3 The Constant Measure of Value and a Nave Reasoning of Technology |
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9 | (1) |
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1.4 Removal of Ordinary Life from the 'Invisible Hand' of Lionel Robbins |
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10 | (2) |
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1.5 The 'Invisible Hand' in the Game Theoretic Approach and the Limit of Computability |
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12 | (1) |
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1.6 The Invisible Hand in the Self-Organization of the Market |
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13 | (1) |
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1.7 Invisible Hands and Market Failures |
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14 | (2) |
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1.7.1 The Trade-Off Between the Real Economy and the Financial Economy, and the Differential Effects on Each |
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15 | (1) |
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1.8 Some Myths of Modern Economies |
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16 | (5) |
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1.8.1 Is More Liquidity Better? |
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17 | (1) |
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1.8.2 Are Financial Markets Efficient? |
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18 | (2) |
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1.8.3 Is Economics an Equilibrium System? |
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20 | (1) |
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1.9 Harmony Between Homo Economicus and Homo Socialis |
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21 | (4) |
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1.9.1 Dirk Helbing's View on Harmony in Society |
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23 | (2) |
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1.10 The Mozi School: Impartial and Heterogeneous Interacting Agents |
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25 | (2) |
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1.11 Human Interactions: A Macroscopic Microeconomic Feedback Loop |
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27 | (4) |
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1.11.1 Economics of a Master Equation and Fluctuations |
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30 | (1) |
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31 | (4) |
2 The Historic Design of the Demand Law and Its Reconstruction |
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35 | (30) |
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2.1 Some Criticisms of a Utility Function for the Design of Household Demand |
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35 | (10) |
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2.1.1 Consumption As a Compromise Between Self-regarding and Other-Regarding Interests |
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35 | (2) |
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2.1.2 The Discrete Choice Model of Different Modes |
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37 | (3) |
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2.1.3 Some Generalizations on Random Terms, Heterogeneities, and Social Interaction |
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40 | (3) |
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2.1.4 Some Essential Differences Between Frames |
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43 | (2) |
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2.2 Analytical Examination of the Demand Law |
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45 | (6) |
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2.2.1 A Makeshift Idea of Compensated Demand and Income |
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45 | (1) |
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2.2.2 Design of the Demand Law and a New Form |
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46 | (2) |
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2.2.3 A Numerical Derivation of a Demand Function |
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48 | (1) |
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2.2.4 The Demand Law as Solved by Hildenbrand (1994) |
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49 | (2) |
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2.3 Reconstructing Demand Theory |
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51 | (6) |
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2.3.1 Self-organizing Patterns of Consumption |
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52 | (3) |
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2.3.2 An Empirical Analysis of Patterns of Consumption |
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55 | (2) |
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2.4 The Results of Statistical Verification |
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57 | (4) |
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2.4.1 The Obtained Distributions of Eigenvalues |
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57 | (1) |
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2.4.2 Comparison Between Alternative Seasonal Adjustments |
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58 | (3) |
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2.5 Some Implications Derived from Statistical Tests |
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61 | (2) |
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61 | (1) |
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62 | (1) |
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63 | (2) |
3 Network Analysis of Production and Its Renewal |
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65 | (36) |
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3.1 Changes in the Concept of Price over the Last Century |
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65 | (9) |
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3.1.1 Shift in Trading Methods and the Environmental Niche |
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66 | (1) |
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3.1.2 Classical Steps Towards Equilibrium |
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66 | (1) |
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3.1.3 Application of a Genetic Algorithm to the Economic System |
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67 | (1) |
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3.1.4 Significance of the Standard Commodity, in the Context of the Genetic Algorithm |
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68 | (6) |
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3.2 The Historical Background to Network Thinking in Economic Theory |
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74 | (7) |
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3.2.1 The Recycling of Production |
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75 | (2) |
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3.2.2 The von Neumann Economy |
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77 | (1) |
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3.2.3 Von Neumann's Original Formulation |
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77 | (1) |
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3.2.4 Classical Truncation Rules of Choice of Techniques |
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78 | (1) |
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3.2.5 Adaptive Plans in the von Neumann Economy |
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78 | (1) |
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3.2.6 The Market Mechanism as a Genetic Algorithm |
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79 | (1) |
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3.2.7 A System's Eigenvector to Measure the Profitability of the Fictitious Processes/Commodities |
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80 | (1) |
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3.2.8 Minimum Spanning Trees of the Industrial Network |
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80 | (1) |
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3.3 An Essential Characteristic of the Joint-Production System |
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81 | (7) |
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3.3.1 An Acyclic Network of Production |
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81 | (4) |
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3.3.2 Criticism of the Traditional Approach |
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85 | (3) |
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3.4 An Empirical Study Using Input-Output Tables |
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88 | (10) |
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3.4.1 The First Step Towards Empirical Input-Output Analysis |
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88 | (7) |
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3.4.2 A Further Consideration for Empirical Studies of the Inter-Industrial Network |
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95 | (3) |
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98 | (3) |
4 Matching Mechanism Differences Between Classical and Financial Markets |
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101 | (30) |
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4.1 Reconsidering the Law of Supply and Demand in the Free Market |
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102 | (9) |
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4.1.1 The Classical Auction with Complete Ignorance of Others' Preferences |
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102 | (3) |
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4.1.2 Auctions in the Financial Market |
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105 | (6) |
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4.2 The U-Mart System and Historical Background |
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111 | (3) |
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4.2.1 The U-Mart System Approach to the Futures Stock Market |
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111 | (1) |
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4.2.2 Historical Background to the Tokyo Stock Market |
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112 | (2) |
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4.3 The Matching Mechanisms in the U-Mart Experiment |
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114 | (6) |
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4.3.1 The Shapes and Performances of the Market Mechanism |
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114 | (2) |
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4.3.2 Zero-Intelligence Tests in the U-Mart System |
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116 | (4) |
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4.4 Similarities of Trading Strategies Between SF Spread and Random Strategy |
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120 | (10) |
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4.4.1 Arbitrage: Equalization Between Markets |
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120 | (5) |
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4.4.2 The Performance of the Random Agents in U-Mart ver. 4's Simulation |
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125 | (5) |
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130 | (1) |
5 The Evolution of the Market and Its Growing Complexity |
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131 | (30) |
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5.1 Practical and Logical Time in High-Frequency Trading (HFT): A Re-domaining of the Trading System |
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131 | (11) |
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5.1.1 Caveats on HFT from the European Securities and Markets Authority |
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132 | (3) |
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5.1.2 The Re-domaining of the Market Caused by the HTF System |
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135 | (1) |
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5.1.3 A Historical Example: A Flash Crash |
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135 | (5) |
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5.1.4 How a Flash Crash Happened |
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140 | (2) |
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142 | (3) |
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5.2.1 The Invisible Organization of Finance |
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142 | (3) |
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5.3 Some Instances of Technological Innovations in the Complex Market Economy |
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145 | (8) |
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5.3.1 Redundancies and the Depth of Logic Contained in a Complex System |
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145 | (1) |
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5.3.2 Innovation and Techno-Culture |
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146 | (1) |
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5.3.3 A Creative Coincidence Connected with Hayabusa's Return and JAXA's Evolution |
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146 | (3) |
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5.3.4 An Assessment of the Hayabusa Mission |
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149 | (4) |
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5.4 Key Ideas for the New Economics |
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153 | (6) |
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5.4.1 The Economics of the Master Equation and Fluctuations |
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153 | (2) |
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5.4.2 A General Urn Process |
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155 | (3) |
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5.4.3 Pitman's Chinese Restaurant Process |
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158 | (1) |
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159 | (2) |
6 The Complexities Generated by the Movement of the Market Economy |
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161 | (34) |
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6.1 A Brief Summary of the Efficient Market Hypothesis |
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161 | (4) |
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6.1.1 Disengagements from the Efficient Market Hypothesis |
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161 | (4) |
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6.2 Moving Away from the Social Philosophy Around the Gaussian Distribution |
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165 | (5) |
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6.2.1 The Historical Penetration of the Gaussian Distribution and Galton's Ideas |
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165 | (5) |
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6.3 Heavy Tail Distributions with Heavier Randomness |
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170 | (8) |
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172 | (4) |
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6.3.2 An Alternative Derivation in View of Memoryless Processes |
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176 | (1) |
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6.3.3 Some Empirical Findings in the Market |
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177 | (1) |
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6.4 Alternative Interpretation: Trader Dynamics to Generate Financial Complexity |
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178 | (16) |
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6.4.1 Rules to Be Specified |
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181 | (9) |
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6.4.2 Complexities in a Dealing Model of an Iterated Finite Automaton |
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190 | (4) |
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194 | (1) |
A Avatamsaka Stochastic Process |
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195 | (8) |
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A.1 Interactions in Traditional Game Theory and Their Problems |
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195 | (4) |
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A.1.1 A Two-Person Game of Heterogeneous Interaction: Avatamsaka Game |
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196 | (1) |
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A.1.2 Dilemmas Geometrically Depicted: Tanimoto's Diagram |
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197 | (2) |
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A.2 Avatamsaka Stochastic Process Under a Given Payoff Matrix |
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199 | (8) |
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A.2.1 Avatamsaka Stochastic Process Under Various Payoff Matrices |
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200 | (3) |
B The JAVA Program of URandom Strategy |
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203 | (4) |
C An Elementary Derivation of the One-Dimensional Central Limit Theorem from the Random Walk |
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207 | (6) |
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C.1 The Derivation of the Density Function of the Normal Distribution |
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209 | (4) |
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C.2 A Heuristic Finding in the Random Walk |
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213 | (1) |
References |
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213 | (2) |
Name Index |
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215 | (2) |
Subject Index |
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217 | |