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Agent-Based Approaches in Economic and Social Complex Systems VI

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Cover of 'Agent-Based Approaches in Economic and Social Complex Systems VI'

Table of Contents

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    Book Overview
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    Chapter 1 Comprehensive Analysis of Information Transmission Among Agents: Similarity and Heterogeneity of Collective Behavior
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    Chapter 2 Examining the Effects of Traders’ Overconfidence on Market Behavior
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    Chapter 3 Short Time Correction to Mean Variance Analysis in an Optimized Two-Stock Portfolio
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    Chapter 4 Exchange Rate Forecasting with Hybrid Genetic Algorithms
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    Chapter 5 Learning Backward Induction: A Neural Network Agent Approach
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    Chapter 6 Cognitive-Costed Agent Model of the Microblogging Network
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    Chapter 7 Landscape Analysis of Possible Outcomes
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    Chapter 8 The Flow of Information Through People’s Network and Its Effect on Japanese Public Pension System
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    Chapter 9 Identification of Voting with Individual’s Feet Through Agent-Based Modeling
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    Chapter 10 Communities, Anti-Communities, Pan-Community as Social Order
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    Chapter 11 Bayesian Analysis Method of Time Series Data in Greenhouse Gas Emissions Trading Market
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    Chapter 12 Large Scale Crowd Simulation of Terminal Station Area When Tokai Earthquake Advisory Information Is Announced Officially
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    Chapter 13 Boundary Organizations: An Evaluation of Their Impact Through a Multi-Agent System
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    Chapter 14 A Bibliometric Study of Agent-Based Modeling Literature on the SSCI Database
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Title
Agent-Based Approaches in Economic and Social Complex Systems VI
Published by
Springer Japan, January 2011
DOI 10.1007/978-4-431-53907-0
ISBNs
978-4-43-153906-3, 978-4-43-153907-0
Editors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 2%
Portugal 1 2%
Russia 1 2%
Philippines 1 2%
Unknown 57 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 32%
Student > Master 14 22%
Researcher 6 10%
Student > Doctoral Student 4 6%
Professor > Associate Professor 4 6%
Other 10 16%
Unknown 5 8%
Readers by discipline Count As %
Social Sciences 18 29%
Economics, Econometrics and Finance 13 21%
Computer Science 7 11%
Business, Management and Accounting 5 8%
Engineering 4 6%
Other 8 13%
Unknown 8 13%