Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior: Understanding Complex Systems
Editat de Dirk Helbingen Limba Engleză Paperback – 11 iun 2014
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Springer Berlin, Heidelberg – 6 mai 2012 | 952.09 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783642436802
ISBN-10: 3642436803
Pagini: 352
Ilustrații: XI, 341 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Understanding Complex Systems
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642436803
Pagini: 352
Ilustrații: XI, 341 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Understanding Complex Systems
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Recenzii
From the reviews:
“This volume is a collection of models whose aim is not only to better explain a variety of phenomena in the social, cultural and economic realms using agent-based models, but also to manage these complex phenomena. … I recommend this as an important addition to the growing work on both the theoretical and practical world of agent-based simulation modelling in the social sciences.” (John Bragin, Journal of Artificial Societies and Social Simulation, April, 2013)
“This volume is a collection of models whose aim is not only to better explain a variety of phenomena in the social, cultural and economic realms using agent-based models, but also to manage these complex phenomena. … I recommend this as an important addition to the growing work on both the theoretical and practical world of agent-based simulation modelling in the social sciences.” (John Bragin, Journal of Artificial Societies and Social Simulation, April, 2013)
Notă biografică
Dirk Helbing,
ETH Zürich
Chair of Sociology Dept., Theoretical physicist, Worldwide leading scientist in computational social sciences and econophysics/complexity research.
ETH Zürich
Chair of Sociology Dept., Theoretical physicist, Worldwide leading scientist in computational social sciences and econophysics/complexity research.
Textul de pe ultima copertă
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. We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up toconflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems.
Parts of this book were previously published in peer reviewed journals.
Caracteristici
Comprehensive research overview by the leading scientist Agent-based modelling for a braod range of applications From mobility in opinion space to mobility in geographical space New approaches to manage complexity in socio-economic systems Includes supplementary material: sn.pub/extras