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Advances in Artificial Economics

Overview of attention for book
Cover of 'Advances in Artificial Economics'

Table of Contents

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    Book Overview
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    Chapter 1 Does Collaboration Pay? An Investigation for the Domain of Distributed Investment Decisions
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    Chapter 2 Why Do Firms Exist?
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    Chapter 3 The “Win-Continue, Lose-Reverse” Rule in Cournot Oligopolies: Robustness of Collusive Outcomes
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    Chapter 4 Organizational Change for Its Own Sake?
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    Chapter 5 Best Practices in Programming Agent-Based Models in Economics and Finance
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    Chapter 6 Building Artificial Economies: From Aggregate Data to Experimental Microstructure. A Methodological Survey
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    Chapter 7 Spontaneous Segregation of Agents Across Double Auction Markets
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    Chapter 8 The J-Curve and Transaction Taxes: Insights from an Artificial Stock Market
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    Chapter 9 What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach
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    Chapter 10 An Agent Based Propagation Model of Bank Failures
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    Chapter 11 Direct vs. Side Effects in Financial Contagion: What Weights More?
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    Chapter 12 Saudis and Expats: An Agent-Based Model of the Saudi Arabian Labor Market
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    Chapter 13 Forbidding Fixed Duration Contracts: Unfolding the Opposing Consequences with a Multi-Agent Model of the French Labor Market
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    Chapter 14 Shadow Economy and Wealth Distribution
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    Chapter 15 Distribution Effects of Extortion Racket Systems
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    Chapter 16 Impacts on Stability of Interdependencies Between Markets in a Cobweb Model
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    Chapter 17 Detecting Key Variables in System Dynamics Modelling by Using Social Network Metrics
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    Chapter 18 Trade-In Programs in the Context of Technological Innovation with Herding
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    Chapter 19 Evaluating Scenarios for Upgrading Sustainability of the Meat Supply Chain
Overall attention for this book and its chapters
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Mentioned by

12 tweeters
2 Facebook pages


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Readers on

44 Mendeley
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Advances in Artificial Economics
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-09578-3
978-3-31-909577-6, 978-3-31-909578-3

Amblard, Frédéric


Frédéric Amblard, Francisco J. Miguel, Adrien Blanchet, Benoit Gaudou

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Portugal 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Student > Bachelor 6 14%
Student > Master 6 14%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 4 9%
Readers by discipline Count As %
Economics, Econometrics and Finance 10 23%
Business, Management and Accounting 7 16%
Computer Science 5 11%
Engineering 5 11%
Mathematics 4 9%
Other 9 20%
Unknown 4 9%