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Multi-Agent-Based Simulation IX

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

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Power Distance in Trade
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    Chapter 2 Intrusion of Agent-Based Social Simulation in Economic Theory
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    Chapter 3 A Model for HIV Spread in a South African Village
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    Chapter 4 Understanding Collective Cognitive Convergence
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    Chapter 5 Dynamics of Agent Organizations: Application to Modeling Irregular Warfare
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    Chapter 6 Using Simulation to Evaluate Data-Driven Agents
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    Chapter 7 Evaluation of Automated Guided Vehicle Systems for Container Terminals Using Multi Agent Based Simulation
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    Chapter 8 MASFMMS: Multi Agent Systems Framework for Malware Modeling and Simulation
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    Chapter 9 Towards a Formal Semantics of Event-Based Multi-agent Simulations
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    Chapter 10 A User Interface to Support Dialogue and Negotiation in Participatory Simulations
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    Chapter 11 Towards Agents for Policy Making
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    Chapter 12 A Quantitative Method for Comparing Multi-Agent-Based Simulations in Feature Space
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    Chapter 13 Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution
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    Chapter 14 Cross-Disciplinary Views on Modelling Complex Systems
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    Chapter 15 Towards a New Approach in Social Simulations: Meta-language
Attention for Chapter 12: A Quantitative Method for Comparing Multi-Agent-Based Simulations in Feature Space
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Citations

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Chapter title
A Quantitative Method for Comparing Multi-Agent-Based Simulations in Feature Space
Chapter number 12
Book title
Multi-Agent-Based Simulation IX
Published by
Springer, Berlin, Heidelberg, May 2008
DOI 10.1007/978-3-642-01991-3_12
Book ISBNs
978-3-64-201990-6, 978-3-64-201991-3
Authors

Ryota Arai, Shigeyoshi Watanabe

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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