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Simulating Social Phenomena

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Cover of 'Simulating Social Phenomena'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Social Simulation — A New Disciplinary Synthesis
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    Chapter 2 Advancing the Art of Simulation in the Social Sciences
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    Chapter 3 Social Science Simulation — Origins, Prospects, Purposes
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    Chapter 4 Can Agents Cover All the World?
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    Chapter 5 A Laboratory for Agent Based Computational Economics: The Self-development of Consistency in Agents’ Behaviour
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    Chapter 6 From the Margin to the Mainstream: An Agenda for Computer Simulations in the Social Sciences
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    Chapter 7 Computer Simulated Empirical Tests of Social Theory: Lessons from 15 Years’ Experience
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    Chapter 8 Modelling a Society of Simple Agents: From Conceptual Specification to Experimentation
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    Chapter 9 Bargaining Between Automata
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    Chapter 10 What to Do With a Surplus
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    Chapter 11 Spatially Coevolving Automata Play the Repeated Prisoner’s Dilemma
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    Chapter 12 A Spatial Iterated Prisoners Dilemma Game Simulation With Movement
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    Chapter 13 Cooperation as Illusory Hill-climbing: Co-adaptation and Search in Social Dilemmas
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    Chapter 14 Cooperation Without Memory
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    Chapter 15 Tributes or Norms? The Context-dependent Rationality of Social Control
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    Chapter 16 In What Kinds of Social Groups can “Altruistic” Behaviors Evolve?
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    Chapter 17 Global vs Local Social Search in the Formation of Coalitions
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    Chapter 18 Exchange and Challenge in Collective Decision Making
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    Chapter 19 Market Organisation
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    Chapter 20 Market Organizations for Controlling Smart Matter
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    Chapter 21 Personnel Policies, Long Term Unemployment and Growth. An Evolutionary Model
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    Chapter 22 Agent-Based Keynesian Economics
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    Chapter 23 An Evolutionary Approach to Structural Economic Dynamics
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    Chapter 24 Macroeconomic Interdependence and Frequency Locking
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    Chapter 25 Organizational Actors and the Need for a Flexible World Representation
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    Chapter 26 Concurrency and the Logic of Economic Organization
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    Chapter 27 Models and Scenarios for European Freight Transport Based on Neural Networks and Logit Analysis
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    Chapter 28 An Evolutionary Urban Cellular Automata: The Model and Some First Simulations
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    Chapter 29 Simulating Multiparty Systems
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    Chapter 30 Co-ordination and Specialisation
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    Chapter 31 Modelling Meta-Memes
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    Chapter 32 Innovation and Imitation as Competitive Strategies: Revisiting a Simulation Approach
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    Chapter 33 A Simulation of Adaptation Mechanisms in Budgetary Decision Making
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    Chapter 34 Searching for the Next Best Mate
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    Chapter 35 Adaptive Artificial Agents Play a Finitely Repeated Discrete Principal-Agent Game
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    Chapter 36 Foreknowledge in Artificial Societies
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    Chapter 37 Would and Should Government Lie about Economic Statistics: Understanding Opinion Formation Processes through Evolutionary Cellular Automata
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    Chapter 38 Simulation for Statistical Inference in Dynamic Network Models
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    Chapter 39 Permutation Techniques for Testing Homogeneity of Social Groups From Questionnaire Results
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    Chapter 40 Sketching LifePaths: A New Framework for Socio-Economic Statistics
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    Chapter 41 New Goods and the Measurement of Real Economic Growth: Summary Results Using the XEcon Experimental Economy
Overall attention for this book and its chapters
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Citations

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Title
Simulating Social Phenomena
Published by
Springer Berlin Heidelberg, January 1997
DOI 10.1007/978-3-662-03366-1
ISBNs
978-3-54-063329-7, 978-3-66-203366-1
Editors

Dr. Rosaria Conte, Prof. Dr. Rainer Hegselmann, Prof. Dr. Pietro Terna

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
United States 2 4%
United Kingdom 2 4%
Netherlands 1 2%
Virgin Islands, U.S. 1 2%
Japan 1 2%
Italy 1 2%
Unknown 39 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 10 20%
Professor > Associate Professor 8 16%
Professor 4 8%
Student > Bachelor 4 8%
Other 11 22%
Unknown 1 2%
Readers by discipline Count As %
Social Sciences 13 27%
Computer Science 8 16%
Environmental Science 5 10%
Engineering 5 10%
Business, Management and Accounting 4 8%
Other 9 18%
Unknown 5 10%