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Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior (Understanding Complex Systems)

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Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior (Understanding Complex Systems) Cover

 

Synopses & Reviews

Publisher Comments:

What are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level outcomes and dynamics that is implied by individual, ``micro-level interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling.

About the Author

Dirk Helbing, ETH Zürich Chair of Sociology Dept., Theoretical physicist, Worldwide leading scientist in computational social sciences and econophysics/complexity research.

Table of Contents

Modeling of Socio-Economic Systems.- Agent-based modeling.- Self-Organization in Pedestrian Crowds.- Opinion Formation.- Spatial Self-Organization through Success-Driven Mobility.- Cooperation in Social Dilemmas.- Co-Evolution of Social Behavior and Spatial Organization.- Evolution of Moral Behavior.- Coordination and Competitive Innovation Spreading in Social Networks.- Heterogeneous Populations: Coexistence, Integration, or Conflict.- Social Experiments and Computers.- Learning of Coordinated Behavior.- Response to Information.- Systemic Risks in Society and Economics.- Managing Complexity.- Challenges in Economics.

Product Details

ISBN:
9783642240034
Author:
Helbing, Dirk
Publisher:
Springer
Subject:
Physics
Subject:
agent-based modelling
Subject:
Behaviour Social Networks
Subject:
Computational Social Science
Subject:
Emergent Social Beahiour
Subject:
Innovation Spreading Networks
Subject:
Managing Complexity
Subject:
Opinion Formation Social System
Subject:
Risks Society Economics
Subject:
Self Organization Crowds
Subject:
socio-economic systems
Subject:
Statistical Physics, Dynamical Systems and Complexity
Subject:
Numerical and Computational Physics
Subject:
Sociology
Subject:
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Subject:
Game Theory, Economics, Social and Behav. Sciences
Subject:
Mathematics-Modeling
Subject:
Sociology - General
Copyright:
Edition Description:
2012
Series:
Understanding Complex Systems
Publication Date:
20111111
Binding:
HARDCOVER
Language:
English
Pages:
351
Dimensions:
235 x 155 mm
Age Level:
Agent Based Modelling

Related Subjects

History and Social Science » Sociology » General
Science and Mathematics » Biology » Cytology and Cell Biology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Modeling
Science and Mathematics » Physics » General
Science and Mathematics » Physics » Math

Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior (Understanding Complex Systems) New Hardcover
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