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Multi-Agent-Based Simulation VII

Overview of attention for book
Cover of 'Multi-Agent-Based Simulation VII'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the Vast Parameter Space of Multi-Agent Based Simulation
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    Chapter 2 Applications of Agent Based Simulation
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    Chapter 3 Analyzing Dynamics of Peer-to-Peer Communication -From Questionnaire Surveys to Agent-Based Simulation
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    Chapter 4 Modeling Human Education Data: From Equation-Based Modeling to Agent-Based Modeling
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    Chapter 5 Contrasting a System Dynamics Model and an Agent-Based Model of Food Web Evolution
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    Chapter 6 Roost Size for Multilevel Selection of Altruism Among Vampire Bats
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    Chapter 7 Tactical Exploration of Tax Compliance Decisions in Multi-agent Based Simulation
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    Chapter 8 Learning to Use a Perishable Good as Money
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    Chapter 9 A Holonic Approach to Model and Deploy Large Scale Simulations
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    Chapter 10 Concurrent Modeling of Alternative Worlds with Polyagents
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    Chapter 11 Integrating Learning and Inference in Multi-agent Systems Using Cognitive Context
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    Chapter 12 Can Agents Acquire Human-Like Behaviors in a Sequential Bargaining Game? – Comparison of Roth’s and Q-Learning Agents –
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    Chapter 13 Quantifying Degrees of Dependence in Social Dependence Relations
Attention for Chapter 3: Analyzing Dynamics of Peer-to-Peer Communication -From Questionnaire Surveys to Agent-Based Simulation
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Citations

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Chapter title
Analyzing Dynamics of Peer-to-Peer Communication -From Questionnaire Surveys to Agent-Based Simulation
Chapter number 3
Book title
Multi-Agent-Based Simulation VII
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-76539-4_3
Book ISBNs
978-3-54-076536-3, 978-3-54-076539-4
Authors

Shinako Matsuyama, Takao Terano, Matsuyama, Shinako, Terano, Takao

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Lecturer 2 33%
Researcher 1 17%
Professor > Associate Professor 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Social Sciences 2 33%
Business, Management and Accounting 1 17%
Medicine and Dentistry 1 17%

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