Simulating Interacting Agents and Social Phenomena - The Second World Congress

von: Keiki Takadama, Claudio Cioffi-Revilla, Guillaume Deffuant

Springer-Verlag, 2010

ISBN: 9784431997818 , 280 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

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Preis: 149,79 EUR

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Mehr zum Inhalt

Simulating Interacting Agents and Social Phenomena - The Second World Congress


 

Simulating Interacting Agents and Social Phenomena

3

Preface

5

Contents

7

Part I: Norms, Diffusion and Social Networks

13

A Classification of Normative Architectures

14

1 .Introduction

14

2 .The Selected Cases

16

3 .A Classification of Design Decisions

18

3.1 .Design Decision 1: The Scale from Logic to Decision Theory

18

3.2 .Design Decision 2: Single or Social Agents?

20

3.3 .Design Decision 3: Concepts of Norms

21

3.4 .Design Decision 4: Static or Dynamic Norms?

23

3.5 .Design Decision 5: Norm Conflicts

23

4 .Conclusion

25

References

28

The Complex Loop of Norm Emergence: A Simulation Model

30

1 .Introduction

30

2 .Existent Approaches

32

3 .Social Norms

33

4 .Objectives

34

5 .Finding Out Norms

34

6 .Normative Architecture

35

6.1 .Norm Recognizer

35

7 .The Simulation Model

38

7.1 .Moving Across Scenarios

39

7.2 .Social Conformers

39

7.3 .Norm-Recognizers

39

8 .The Simulator

40

9 .Results and Discussion

40

9.1 .Results with Social Conformers

41

9.2 .Results with Norm Recognizers

42

10 .Concluding Remarks

44

References

45

A Social Network Model of Direct Versus Indirect Reciprocity in a Corrections-Based Therapeutic Community

47

1 .Introduction

47

2 .Theoretical Background

48

2.1 .Direct and Indirect Reciprocity

48

2.2 .Indirect and Direct Reciprocity in TCs

49

3 .Methodology

50

3.1 .Agent-Based Model

50

3.2 .Data

52

3.3 .Analysis

52

4 .Results

53

5 .Conclusion

55

References

56

A Force-Directed Layout for Community Detection with Automatic Clusterization

58

1 .Introduction

58

2 .A Weakness of .Q

60

3 .Related Work

60

4 .Community Structure Properties

61

4.1 .Node Degree

62

4.2 .Graph Distance

62

5 .Algorithms

64

5.1 .Force-Directed Layout

64

5.2 .Convergence

65

5.3 .Motivation

66

5.4 .Clustering

67

5.5 .Example

67

6 .Results

69

6.1 .Social Network Results

69

7 .Improvements

70

7.1 .a-Searching

70

7.2 .Refining e

70

8 .Results

71

9 .Conclusion & Future Work

71

References

72

Comparing Two Sexual Mixing Schemes for Modelling the Spread of HIV/AIDS

73

1 .Introduction

73

2 .Specification for Two Sexual Mixing Schemes

74

2.1 .A Scheme Based on Simple Aspiration and Quality Measure

75

2.2 .A Scheme Based on Endorsements

75

3 .Simulation Results

77

3.1 .Characteristics of the Simulated Heterosexual Networks

77

3.2 .HIV/AIDS Prevalence

80

4 .Discussion and Outlook

82

References

83

Exploring Context Permeability in Multiple Social Networks

85

1 .Introduction

85

2 .Multiple and Multi-Modal Relations

87

3 .Relations, Roles and Contexts

88

4 .Social Network Representations and Analysis

89

5 .Consensus Games

90

6 .Experimental Setting

90

7 .Analysis of Simulation Outcomes

91

8 .Conclusions and Future Work

93

References

94

A Naturalistic Multi-Agent Model of Word-of-Mouth Dynamics

96

1 .Modeling Word-of-Mouth

97

1.1 .Evidence on Word-of-Mouth

97

1.2 .Existing Models

98

1.3 .Target

98

2 .Model

99

2.1 .Structure of Interactions

99

2.2 .Knowledge Representation

100

2.3 .Communicative Behavior

100

3 .Simulation

101

3.1 .Dynamics with Active Searches

101

3.2 .Using an Event to Facilitate Diffusion of Information

103

3.3 .Diffusion of Related Products

104

4 .Discussion

105

References

106

Part II: Economy, Market and Organization

107

Introducing Preference Heterogeneity into a Monocentric Urban Model: An Agent-Based Land Market Model

108

1 .Introduction

109

2 .The Model

110

3 .Simulation Experiments

112

3.1 .Experiment 1

113

3.2 .Experiment 2

116

4 .Conclusions and Discussions

119

References

121

The Agent-Based Double Auction Markets: 15 Years On

123

1 .Introduction: It Takes Time to See “Change”

124

2 .Agent-Based Double Auction Markets: Literature Review

125

2.1 .Gode-Sunder Model

125

2.2 .Santa Fe Double Auction Markets

126

2.3 .Andrews-Prager Model

127

2.4 .AIE-DA

128

3 .Experimental Design

130

3.1 .Market Mechanism

130

3.2 .Trading Strategies

131

3.3 .GP Trading Agents

133

3.4 .Experimental Procedures

134

4 .Results: GP Agents Versus Non-Autonomous Traders

135

5 .Conclusion

138

References

139

A Doubly Structural Network Model and Analysis on the Emergence of Money*

141

1 .Introduction

141

1.1 .Problems Regarding the Origin/Emergence of Money

142

1.2 .Mathematical Models for the Emergence of Money

143

2 .Doubly Structural Network Model

144

3 .Doubly Structural Network Model of the Emergence of Money

146

4 .Mean-Field Dynamics Analysis of the Emergence of Money

147

4.1 .Mean-Field Dynamics

147

4.2 .Emergence Scenario Using Mean-Field Dynamics

147

5 .Simulation Experimentation

150

6 .Conclusion

152

References

152

Analysis of Knowledge Retrieval Heuristics in Concurrent Software Development Teams

154

1 .Introduction

155

2 .Model

155

2.1 .PCANNS Scheme

155

2.2 .Concurrent Software Development Team

156

2.3 .Knowledge Retrieval Heuristics

157

2.4 .Simulation Flow

158

3 .Parameter Calibration

160

4 .Effective Knowledge Retrieval Heuristics

160

5 .Scope and Grounding

163

6 .Summary and Future Work

163

.Appendix: Algorithm of Knowledge-Retrieval Heauristics

164

.Minimum effort type

164

.Risk aversion type

164

.“Ask others” type

165

.“Acquire on my own” type

165

.Broad retrieval type

165

.Random type

166

References

166

Reputation and Economic Performance in Industrial Districts: Modelling Social Complexity Through Multi-Agent Systems

167

1 .Introduction

167

1.1 .Research Hypothesis

169

2 .The Simulation Model

170

2.1 .Partner Selection and Economic Exchange

171

2.2 .Information Exchange

172

3 .Results

173

4 .Concluding Remarks

177

References

178

Part III: Modeling Approaches and Programming Environments

179

Injecting Data into Agent-Based Simulation

180

1 .Introduction

180

2 .The Classical View

182

2.1 .The Logic of Simulation

182

2.2 .Issues with Abstract ABMs

182

3 .Sources of Data

184

4 .The Data-Driven Flow: Adapting the Logic

185

5 .Discussion and Difficulties of the Approach

187

6 .A Case Study: the Mentat Model

188

6.1 .Context of the Model

188

6.2 .The Randomly Initialised Version: Mentat-RND

188

6.3 .The Version Initialised with Data: Mentat-DAT

189

6.4 .Comparison of Outputs

189

7 .Concluding Remarks

190

References

191

The MASON HouseholdsWorld Model of Pastoral Nomad Societies

193

1 .Introduction: Motivation and Background

193

2 .The HouseholdsWorld Model

195

2.1 .Households

196

2.2 .Camps

198

2.3 .Natural Environment

199

3 .Simulated Dynamics

199

4 .Summary

201

References

203

Effects of Adding a Simple Rule to a Reactive Simulation

205

1 .Introduction

205

2 .Extending the Original Model

206

3 .Social Organisation

208

4 .Final Considerations

211

References

211

Applying Image Texture Measures to Describe Segregation in Agent-Based Modeling

212

1 .Introduction

212

2 .Gibbs Random Field in Image Processing

213

2.1 .Definition

213

2.2 .Image Simulation with Markov Chain Monte Carlo Methods

215

2.3 .Example: An Ising/Potts Class of GRF

216

3 .Schelling Segregation Model

217

3.1 .Original Schelling Model

217

3.2 .Schelling Model as a Derin and Elliott GRF

218

4 .Texture Measures Applied to Segregation

219

5 .Application to the Output of an Agent Based Model

221

6 .Applications to Social Simulation Beyond the 2D Grid

222

7 .Conclusion

222

References

224

Autonomous Tags: Language as Generative of Culture

225

1 .Introduction

226

2 .Symbolic Interactionist Simulation

229

3 .SISTER

230

3.1 .The Design of SISTER

231

3.2 .Mutual Information to Measure Roles

236

3.3 .Experiment

236

3.4 .Results

238

3.5 .Discussion

242

4 .Future Directions

248

References

249

Virtual City Model for Simulating Social Phenomena

251

1 .Introduction

251

2 .Abstract of SOARS

252

3 .Details of the Model

252

4 .Structure of Virtual City

253

5 .Settings for the Virtual City

253

6 .Behaviors of Agents in the Virtual City

254

7 .An Example of the Virtual City

256

8 .Use Case of the Model

256

9 .Future Works

259

References

260

Modeling Endogenous Coordination Using a Dynamic Language*

262

1 .Introduction

263

2 .Related Work

263

3 .The EndEC Model

264

4 .Implementation of the EndEC Model

266

5 .Conclusions

272

References

273

Author Index

274

Keyword Index

276