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Agent-based modeling and social simulation have emerged as an
interdisciplinary area of social science that includes
computational economics, organizational science, social dynamics,
and complex systems. This area contributes to enriching our
understanding of the fundamental processes of social phenomena
caused by complex interactions among agents. Bringing together
diverse approaches to social simulation and research agendas, this
book presents a unique collection of contributions from the Second
World Congress on Social Simulation, held in 2008 at George Mason
University in Washington DC, USA. This book in particular includes
articles on norms, diffusion, social networks, economy, markets and
organizations, computational modeling, and programming
environments, providing new hypotheses and theories, new simulation
experiments compared with various data sets, and new methods for
model design and development. These works emerged from a global and
interdisciplinary scientific community of the three regional
scientific associations for social simulation: the North American
Association for Computational Social and Organizational Science
(NAACSOS; now the Computational Social Science Society, CSSS), the
European Social Simulation Association (ESSA), and the Pacific
Asian Association for Agent-bBased Approach in Social Systems
Sciences (PAAA)."
Agent-based modeling and social simulation have emerged as an
interdisciplinary area of social science that includes
computational economics, organizational science, social dynamics,
and complex systems. This area contributes to enriching our
understanding of the fundamental processes of social phenomena
caused by complex interactions among agents. Bringing together
diverse approaches to social simulation and research agendas, this
book presents a unique collection of contributions from the Second
World Congress on Social Simulation, held in 2008 at George Mason
University in Washington DC, USA. This book in particular includes
articles on norms, diffusion, social networks, economy, markets and
organizations, computational modeling, and programming
environments, providing new hypotheses and theories, new simulation
experiments compared with various data sets, and new methods for
model design and development. These works emerged from a global and
interdisciplinary scientific community of the three regional
scientific associations for social simulation: the North American
Association for Computational Social and Organizational Science
(NAACSOS; now the Computational Social Science Society, CSSS), the
European Social Simulation Association (ESSA), and the Pacific
Asian Association for Agent-bBased Approach in Social Systems
Sciences (PAAA)."
Uncertainty is an ever-present and ineradicable aspect of politics.
It affects all important issues of governance and policy, in both
domestic and international contexts. Rather than treating the
uncertainty of politics as a mystery, this book provides an
original and direct treatment of political uncertainty as a
scientifically-knowable phenomenon with well-defined principles and
substantive properties. Specific applications of this theory of
political uncertainty are demonstrated in diverse areas of
politics, examining such questions as when and how wars break out,
when and how governments collapse, and when and how political
cooperation emerges. The author shows how probability and
mathematical modeling can play a central role in understanding such
complex and fundamental issues.
Uncertainty is an ever-present and ineradicable aspect of politics.
It affects all important issues of governance and policy, in both
domestic and international contexts. Rather than treating the
uncertainty of politics as a mystery, this book provides an
original and direct treatment of political uncertainty as a
scientifically-knowable phenomenon with well-defined principles and
substantive properties. Specific applications of this theory of
political uncertainty are demonstrated in diverse areas of
politics, examining such questions as when and how wars break out,
when and how governments collapse, and when and how political
cooperation emerges. The author shows how probability and
mathematical modeling can play a central role in understanding such
complex and fundamental issues.
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