This open access book examines the methodological complications of using complexity science concepts within the social science domain.� The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences.� Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography.� This�work�offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.? Softcover Reprint of the Original 1st 2018 ed.

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Bibliographic Details

Title: Methodological Investigations in Agent-Based Modelling
Publisher: Springer Nature Switzerland AG, CH
Publication Date: 2019
Language: English
ISBN 10: 3030101959
ISBN 13: 9783030101954
Binding: Paperback
Condition: New
Dimensions: 15.5 centimeters width by 1.5 centimeters height by 23.5 centimeters depth
Weight: 402 grams

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This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.

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