Agent-Based Approaches in Economic and Social Complex Systems VI - Post-Proceedings of The AESCS International Workshop 2009

von: Shu-Heng Chen, Takao Terano, Ryuichi Yamamoto

Springer-Verlag, 2011

ISBN: 9784431539070 , 202 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's

Preis: 106,99 EUR

  • AutoCAD 2012 - Von der 2D-Linie zum 3D-Modell
    Organisiert (DIGITAL lifeguide) - Termine, Kontakte, Aufgaben immer & überall im Griff
    iTunes (DIGITAL lifeguide) - Die besten Tipps und Tricks für entspannten Musikgenuss
    Von PDM zu PLM - Prozessoptimierung durch Integration
    Konstruieren mit CAD - Das Komplettpaket für 3D Modellieren im Maschinenbau

     

     

     

     

 

Mehr zum Inhalt

Agent-Based Approaches in Economic and Social Complex Systems VI - Post-Proceedings of The AESCS International Workshop 2009


 

Agent-Based Approaches in Economic and Social Complex Systems VI

1

Preface

Preface

Committees and Chairs of AESCS’09

Committees and Chairs of AESCS’09

Contents

Contents

Part I Agent-Based Financial Markets

11

Comprehensive Analysis of Information Transmission Among Agents: Similarity and Heterogeneity of Collective Behavior

12

1 Introduction

12

2 Literature Survey

14

3 Model and Methods

15

4 Empirical Analysis

18

5 Conclusions

25

References

26

Examining the Effects of Traders' Overconfidence on Market Behavior

27

1 Introduction

27

2 The Model

29

2.1 Market Structure

29

2.2 Learning of Traders

30

3 Simulations

32

4 Conclusion

38

References

38

Part II Financial Forecasting and Investment

40

Short Time Correction to Mean Variance Analysis in an Optimized Two-Stock Portfolio

41

1 Introduction

41

2 Mean-Variance Analysis for the Long Time Scale

43

3 Short Term Correction

44

4 Decision Mechanism

45

5 Simulation Result

46

6 Conclusion

50

References

50

Exchange Rate Forecasting with Hybrid Genetic Algorithms

52

1 Introduction

52

2 Methodology and Data Description

54

2.1 Genetic Algorithms

54

2.2 Particle Swarm Optimization

55

2.3 Back Propagation Network

56

2.4 Variables and Data Normalization

57

3 Experiment Design

57

4 Experiment Results

59

4.1 Comparing the Forecasting Results by Three Criteria

59

4.2 Comparison of the Forecast Results by Monthly Exchange Rate

61

5 Conclusion and Suggestions

62

References

62

Part III Cognitive Modeling of Agents

64

Learning Backward Induction: A Neural Network Agent Approach

65

1 Introduction

65

2 Methodology

66

2.1 The Class of Games

66

2.2 Introduction to Neural Networks

67

2.3 Simulations, Models and Heuristics

69

2.4 Performance Testing

70

3 Results

71

3.1 Comparison of NN Topologies

71

3.2 Comparison of NNs to Standard Classification Algorithms and Heuristics

71

3.3 Detailed Analysis of bold0mu mumu equation1 Agents' Performance

73

3.4 Subgame and Truncation Consistency

73

3.5 Agent Heterogeneity

74

4 Conclusion

74

A Technical Presentation of the NN Backpropagation Algorithm

75

References

77

Cognitive-Costed Agent Model of the Microblogging Network

78

1 Introduction

78

2 Data Analysis

79

3 Model

82

3.1 Simple Reciprocal Model

82

3.2 Reciprocal Model with Cognitive Cost

83

4 Discussion and Conclusions

86

References

87

Part IV Complexity and Policy Analysis

88

Landscape Analysis of Possible Outcomes

89

1 Introduction

89

2 Landscape Analysis of Possible Outcomes

91

3 Case Example

93

3.1 Model

93

3.1.1 Sales Division and Salespersons

93

3.1.2 Organizational Behavior

94

3.1.3 Evaluation System

94

3.1.4 Organizational Learning

94

3.2 Simulation

95

3.2.1 Verification and Validation

95

3.2.2 Experimental Design

95

3.2.3 Result

96

4 Discussion

97

4.1 Analysis of Uncertainties

97

4.2 Evaluation and Scope

98

5 Summary and Future Study

99

References

99

The Flow of Information Through People's Network and Its Effect on Japanese Public Pension System

101

1 Introduction

101

2 Basics

102

2.1 The Function for Agent to Agent Interactions

102

2.2 Three Basic Network Models

105

3 Choice of Network Model that Fit Well in Real People's Network

105

4 Put the Information on the Agent-to-Agent Network

107

5 The Effect of Releasing the Information and Its Expansion on Japanese Public Pension System

108

5.1 The Execution of Simulation

108

5.2 Simulation Results

109

5.2.1 The Altered Distribution in Agent's Attitude Score

109

5.2.2 Investigating the Reasons for the Differences from ``Agent's Links''

109

5.2.3 Investigating the Reasons for the Differences from Agent's ``Betweeness Centrality''

114

5.2.4 The Relationships Between Information Flow and Pension Premium Fund

115

5.2.5 Additional Simulation

116

6 Conclusion and Future Works

118

References

118

Identification of Voting with Individual's Feet Through Agent-Based Modeling

120

1 Introduction

120

2 Related Work

121

2.1 Social Phenomenon of Migration

121

2.2 Studies About VWF

122

3 Model Description

123

3.1 Government Agent Model

123

3.1.1 Basic Concepts of the Model

123

3.1.2 Budget Distribution Strategies

124

3.2 Inhabitant Agent Model

124

3.3 How the Agent-Simulator Works

125

4 Experiments and Discussions

126

4.1 Experimental Results

127

4.1.1 Statistics of the Experiments

127

5 Proposal of Multiple-Layer Modeling

131

5.1 Issues of the Current VWIF Model

131

5.2 Framework of MLM

131

5.3 On Agents' Action Rules in the MLM Environment

132

6 Concluding Remarks

132

References

133

Part V Agent-Based Modeling of Good Societies

134

Communities, Anti-Communities, Pan-Community as Social Order

135

1 Introduction

135

2 The Friend Selection Strategies based on Attribute and Reputation in Group (FSS-ARG)

136

3 Evolutionary Simulation of Peace

138

4 Emergence of Four Types of Social States

140

5 Discussions

144

References

145

Bayesian Analysis Method of Time Series Data in Greenhouse Gas Emissions Trading Market

146

1 Introduction

146

2 Analytical Methods of Time Series Data

147

2.1 Overview of DFT

147

2.2 BAM

148

2.3 Classification Method Using Distribution

149

3 Model

150

3.1 Model of Participant Nations in Emissions Trading

150

3.2 Compliance Mechanism

152

4 Experiments: Comparison of DFT and BAM

153

4.1 Setting

153

4.2 Experiment Results

154

5 Discussion

156

6 Conclusion

157

References

157

Large Scale Crowd Simulation of Terminal Station Area When Tokai Earthquake Advisory Information Is Announced Officially

159

1 Introduction

159

2 A Framework of the Simulation

160

2.1 Characteristics of the Model Employed in the Research

160

2.2 An Outline of the Model and Framework of the Simulation

161

3 Production Design of LSCSver.1.0

161

3.1 Details of the Model

161

3.2 Assessment of the Shortest Distance

163

3.3 Rules Concerning Movement of Pedestrian Agents

163

3.4 Rules for Route Selection by Pedestrian Agents

164

4 Simulation Analysis

165

4.1 Rules for Route Selection by Pedestrian Agents

165

4.2 Results Analysis

165

4.2.1 Measurement Data

167

5 Conclusion

171

References

171

Part VI Miscellany

173

Boundary Organizations: An Evaluation of Their Impact Through a Multi-Agent System

174

1 Introduction

174

2 Boundary Organizations

175

3 Methodology

177

4 Results

180

5 Conclusion

184

References

185

A Bibliometric Study of Agent-Based Modeling Literature on the SSCI Database

186

1 Introduction

186

2 Agent-Based Modeling Description

187

3 Overall Analysis of ABM literature

187

4 Bradford's Law and Journal Literature

191

5 Lotka's Law and Author Productivity

193

5.1 Distribution of Scientific Productivity of Authors with Equality of Chances of Participation

193

5.2 Lotka's Law

193

6 Conclusion

195

References

195

Author Index

196

Keyword Index

197