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Part I Humans in the System |
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Multi-Agent Stochastic Simulation for the Electricity Spot Market Price |
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3 | (12) |
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3 | (1) |
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4 | (3) |
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2.1 Electricity Spot Market Price |
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4 | (1) |
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2.2 Animal Spirits in Financial Markets |
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5 | (1) |
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2.3 Capasso-Morale-Type Population Dynamics |
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6 | (1) |
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3 Multi-Agent Simulations for Electricity Spot Market |
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7 | (5) |
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7 | (1) |
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3.2 Mean-Reverting Jump Diffusion Ensemble Simulation |
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8 | (2) |
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3.3 Ensemble Simulation with Burgers'-Type Interaction |
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10 | (2) |
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12 | (3) |
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13 | (2) |
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Referral Hiring and Labor Markets: a Computational Study |
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15 | (12) |
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16 | (2) |
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2 Model and Experimental Settings |
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18 | (3) |
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18 | (1) |
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2.2 Social Network Generation |
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19 | (1) |
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2.3 Experimental Settings |
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20 | (1) |
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21 | (3) |
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3.1 Efficiency of Link Types |
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21 | (1) |
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3.2 Perfect Interactions, Weak Sensitivity to Networks' Structure |
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22 | (1) |
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3.3 Networks with Probabilistic Interactions |
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23 | (1) |
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24 | (3) |
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25 | (2) |
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An Agent-Based Information Management Approach to Smoothen the Pork Cycle in China |
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27 | (14) |
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28 | (1) |
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1.1 Information Management Objective |
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28 | (1) |
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29 | (2) |
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29 | (1) |
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2.2 Interventions from Government |
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30 | (1) |
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2.3 Information Management Based Approach |
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30 | (1) |
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31 | (1) |
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31 | (3) |
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4.1 Information Management Approach |
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32 | (1) |
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32 | (1) |
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33 | (1) |
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33 | (1) |
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4.5 Fourier Transformation |
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34 | (1) |
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34 | (2) |
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6 Conclusion and Discussion |
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36 | (5) |
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37 | (4) |
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Part II Financial Markets |
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Do Capital Requirements Affect Long-Run Output Trends? |
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41 | (12) |
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1 The Eurace Credit Market Model |
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43 | (3) |
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43 | (1) |
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44 | (1) |
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1.3 Matching Demand and Supply of Credit |
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45 | (1) |
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2 The Computational Experiment |
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46 | (4) |
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50 | (3) |
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51 | (2) |
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Modeling the Textbook Fractional Reserve Banking System |
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53 | (12) |
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53 | (3) |
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56 | (1) |
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3 A Simple Model of the Banking System |
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57 | (1) |
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58 | (4) |
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59 | (1) |
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4.2 Regional Banking Model |
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60 | (1) |
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4.3 Evolution of the Money Multiplier |
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61 | (1) |
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62 | (3) |
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63 | (2) |
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Learning to Trade in an Unbalanced Market |
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65 | (14) |
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65 | (1) |
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66 | (1) |
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3 Convergence to the Competitive Outcome |
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67 | (3) |
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4 The Evolution of Strategic Behavior |
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70 | (3) |
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4.1 Simultaneous Order Clearing |
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70 | (2) |
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4.2 Asynchronous Order Clearing |
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72 | (1) |
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73 | (6) |
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76 | (3) |
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Part III Organization design |
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Effectivity of Multi Criteria Decision-Making in Organisations: Results of an Agent-Based Simulation |
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79 | (12) |
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1 Introduction, Research Question and Research Method |
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79 | (1) |
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80 | (5) |
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2.1 Model of Organisations and Options for Organisational Design |
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81 | (2) |
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2.2 The Representation of the Performance Landscapes |
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83 | (1) |
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2.3 Methods of Multi Criteria Decision Making |
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84 | (1) |
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85 | (3) |
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86 | (1) |
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87 | (1) |
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3.3 Evaluation Across Multi Criteria Decision Making Methods |
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87 | (1) |
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88 | (3) |
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89 | (2) |
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The Problem of Emergency Department Overcrowding: Agent-Based Simulation and Test by Questionnaire |
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91 | (12) |
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1 The Problem of Medical Emergency Department Overcrowding |
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91 | (2) |
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2 Small-Scale Game-Theoretic Models |
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93 | (2) |
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3 Agent-Based Computer Simulation |
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95 | (4) |
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4 Survey Method and Results |
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99 | (2) |
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101 | (2) |
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102 | (1) |
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An Agent-based Model of Food Safety Practices Adoption |
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103 | (14) |
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103 | (3) |
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106 | (3) |
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3 Implementation and Results |
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109 | (3) |
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112 | (5) |
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113 | (4) |
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Why Should the Economy be Competitive? |
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117 | (12) |
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118 | (2) |
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120 | (2) |
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122 | (5) |
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127 | (2) |
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128 | (1) |
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Economic Growth by Waste Generation: the Dynamics of a Vicious Circle |
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129 | (10) |
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1 Background Literature and Issue |
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129 | (1) |
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130 | (5) |
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2.1 A Simple Model of Economic Growth Pulled by Durables |
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131 | (1) |
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2.2 Beyond the Limits: the Throw Away Society |
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132 | (3) |
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3 Heterogeneous Agents and the Waste Stream of Durables |
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135 | (2) |
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137 | (2) |
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137 | (2) |
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Using Agentization for Exploring Firm and Labor Dynamics |
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139 | (14) |
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1 Agentization as a Methodological Tool |
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140 | (1) |
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141 | (6) |
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141 | (1) |
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142 | (1) |
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2.3 Equilibrium Impossibility |
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142 | (3) |
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2.4 Labor Mobility and Time |
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145 | (1) |
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2.5 Heterogeneity and Local Interaction |
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145 | (2) |
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147 | (2) |
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4 Summary and Conclusions |
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149 | (4) |
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149 | (4) |
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Firm Entry Diversity, Resource Space Heterogeneity and Market Structure |
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153 | (12) |
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153 | (1) |
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154 | (4) |
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158 | (4) |
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162 | (3) |
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163 | (2) |
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Time-Dependent Trading Strategies in a Continuous Double Auction |
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165 | (12) |
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165 | (2) |
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167 | (4) |
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168 | (3) |
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171 | (2) |
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4 Quality of the Equilibrium and Robustness Test |
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173 | (3) |
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176 | (1) |
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176 | (1) |
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An ACE Wholesale Electricity Market Framework with Bilateral Trading |
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177 | (14) |
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177 | (2) |
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179 | (1) |
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3 The Match-Making of Agents in the Bilateral Market of Energy |
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180 | (2) |
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3.1 The Bilateral Transaction Mechanism |
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181 | (1) |
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182 | (3) |
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183 | (1) |
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184 | (1) |
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185 | (2) |
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187 | (1) |
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188 | (3) |
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188 | (3) |
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Dynamics of Cooperation in Spatial Prisoner's Dilemma of Memory-Based Players |
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191 | (10) |
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191 | (1) |
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192 | (3) |
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195 | (3) |
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198 | (1) |
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199 | (2) |
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199 | (2) |
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Indian Food Supply Chains: a Game and Model to Study Economic Behavior |
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201 | |
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201 | (1) |
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2 Indian Mango Supply Chain |
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202 | (2) |
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3 A New Design: Mango Mandi Gaming Simulation |
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204 | (6) |
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3.1 Description of the Roles / Agents in the MMGS |
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204 | (1) |
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205 | (5) |
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210 | (1) |
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5 Conclusions and Discussion |
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211 | |
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212 | |