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Political Science has traditionally employed empirical research and analytical resources to understand, explain and predict political phenomena. One of the long-standing criticisms against empirical modeling targets the static perspective provided by the model-invariant paradigm. In political science research, this issue has a particular relevance since political phenomena prove sophisticated degrees of context-dependency whose complexity could be hardly captured by traditional approaches. To cope with the complexity challenge, a new modeling paradigm was needed. This book is concerned with…mehr

Produktbeschreibung
Political Science has traditionally employed empirical research and analytical resources to understand, explain and predict political phenomena. One of the long-standing criticisms against empirical modeling targets the static perspective provided by the model-invariant paradigm. In political science research, this issue has a particular relevance since political phenomena prove sophisticated degrees of context-dependency whose complexity could be hardly captured by traditional approaches. To cope with the complexity challenge, a new modeling paradigm was needed. This book is concerned with this challenge. Moreover, the book aims to reveal the power of computational modeling of political attitudes to reinforce the political methodology in facing two fundamental challenges: political culture modeling and polity modeling. The book argues that an artificial polity model as a powerful research instrument could hardly be effective without the political attitude and, by extension, the political culture computational and simulation modeling theory, experiments and practice.

This book:
_ Summarizes the state of the art in computational modeling of political attitudes, with illustrations and examples featured throughout.
_ Explores the different approaches to computational modeling and how the complexity requirements of political science should determine the direction of research and evaluation methods.
_ Addresses the newly emerging discipline of computational political science.
_ Discusses modeling paradigms, agent-based modeling and simulation, and complexity-based modeling.
_ Discusses model classes in the fundamental areas of voting behavior and decision-making, collective action, ideology and partisanship, emergence of social uprisings and civil conflict, international relations, allocation of public resources, polity and institutional function, operation, development and reform, political attitude formation and change in democratic societies.

This book is ideal for students who need a conceptual and operational description of the political attitude computational modeling phases, goals and outcomes in order to understand how political attitudes could be computationally modeled and simulated. Researchers, Governmental and international policy experts will also benefit from this book.
Autorenporträt
Camelia Florela Voinea, Department of Political Science, International Relations and Security Studies, University of Bucharest, Bucharest, Romania
Rezensionen
"From the outside the field of political science or studies seems left behind in terms of time, techniques and issues addressed. This book brings together, for the first time, the various strands that together might make up a new direction for the field - that of using computational approaches to understand how political attitudes, beliefs and thinking might result in the macro political outcomes reported in the press and media. There have been some brave researchers who have attempted to introduce computer models in the field, but they have been widely scattered and largely ignored. By bringing together all these approaches within a coherent framework the author shows how much work has been done and its future potential. But she also places these within a systematic framework showing how they might relate. The coverage of this book is astounding, covering history, theoretical bases, cognitive perspective, computational details and all the main approaches that have been developed. This makes the book a valuable reference work, enabling researchers to see the power of the approach and giving them a solid foundation from which to develop future work. "

Dr. Bruce Edmonds, Research Professor, Director of the Centre for Policy Modelling
Manchester Metropolitan University Business School