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Emergent Results of Artificial Economics

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Cover of 'Emergent Results of Artificial Economics'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-Agent Stochastic Simulation for the Electricity Spot Market Price
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    Chapter 2 Referral Hiring and Labor Markets: a Computational Study
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    Chapter 3 An Agent-Based Information Management Approach to Smoothen the Pork Cycle in China
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    Chapter 4 Do Capital Requirements Affect Long-Run Output Trends?
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    Chapter 5 Modeling the Textbook Fractional Reserve Banking System.
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    Chapter 6 Learning to Trade in an Unbalanced Market
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    Chapter 7 Effectivity of Multi Criteria Decision-Making in Organisations: Results of an Agent-Based Simulation
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    Chapter 8 The Problem of Emergency Department Overcrowding: Agent-Based Simulation and Test by Questionnaire
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    Chapter 9 An Agent-based Model of Food Safety Practices Adoption
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    Chapter 10 Why Should the Economy be Competitive?
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    Chapter 11 Economic Growth by Waste Generation: the Dynamics of a Vicious Circle
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    Chapter 12 Using Agentization for Exploring Firm and Labor Dynamics
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    Chapter 13 Firm Entry Diversity, Resource Space Heterogeneity and Market Structure
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    Chapter 14 Time-Dependent Trading Strategies in a Continuous Double Auction
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    Chapter 15 An ACE Wholesale Electricity Market Framework with Bilateral Trading
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    Chapter 16 Dynamics of Cooperation in Spatial Prisoner’s Dilemma of Memory-Based Players
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    Chapter 17 Indian Food Supply Chains: a Game and Model to Study Economic Behavior
Overall attention for this book and its chapters
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Citations

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Title
Emergent Results of Artificial Economics
Published by
Springer Berlin Heidelberg, June 2011
DOI 10.1007/978-3-642-21108-9
ISBNs
978-3-64-221108-9, 978-3-64-221107-2
Editors

Osinga, Sjoukje, Hofstede, Gert Jan, Verwaart, Tim

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 7 20%
Student > Master 5 14%
Professor > Associate Professor 2 6%
Professor 2 6%
Other 3 9%
Unknown 6 17%
Readers by discipline Count As %
Economics, Econometrics and Finance 8 23%
Engineering 6 17%
Business, Management and Accounting 3 9%
Social Sciences 3 9%
Computer Science 2 6%
Other 3 9%
Unknown 10 29%