Complexity and the Human Experience - Modeling Complexity in the Humanities and Social Sciences
by Paul Youngman (Washington and Lee University, USA), Mirsad Hadzikadic (University of North Carolina, USA)
Hardback 292 pages 2014-04-30 Print ISBN: 9789814463263 eBook ISBN: 9789814463270 DOI: 10.4032/9789814463270
List price : $149.95
“This volume makes a unique contribution in advancing the case for modeling in the humanities. Contemporary research is increasingly multidisciplinary and enriched by models that cross boundaries whenever dynamically similar phenomena emerge. Until recently, the humanities have stood outside of this development. This work documents pioneering explorations of models, networks, and methodological principles, most significantly, those that consolidate the conceptual, empirical, and practical aspects of inquiry within the humanities.”
Prof. Marvin J. Croy - University of North Carolina at Charlotte, USA
“Being able to understand and explain complex ideas in the humanities and social sciences is increasingly important, given the current directions and pace of research and understanding in those fields. The works in this volume show that by applying quantitative methods, such as explanation through use of models, computer simulations, and artificial agents, not only is understanding of complexity assisted, but the visualization of complex phenomena, and the ability to explain and teach complex ideas, is now shown to be within the reach of researchers in fields previously not given to such techniques.”
Prof. Charles D. Turnitsa - Columbus State University, USA
The humanities are not known as a quantitative field. Questions of values, ontologies, ethics, aesthetics, discourse, origins, language, literature, and meaning do not lend themselves readily, or traditionally, to equations, probabilities, and models. However, with the increased adoption of natural science tools in economics, anthropology, and political science, to name only a few social scientific fields highlighted in this volume, quantitative methods in the humanities are becoming more common. In the past three years, a group of researchers affiliated with the Complex Systems Institute at the University of North Carolina Charlotte organized a series of symposia sponsored by the Association for the Advancement of Artificial Intelligence aimed at better understanding of the role of modeling and simulations in the humanities and social sciences. One particular methodology seems to be particularly apt for such domains of human inquiry—Complex Adaptive Systems. Although originally advanced in Physics, the theory of complexity, with its various associated tools, holds significant promise for better understanding social and human phenomena based on interactions among the participating “agents,” whatever they may be: a thought, a person, a conversation, a sentence, or an email. Such systems exhibit phase transitions, feedback loops, self-organization, and emergent properties. These dynamic systems lend themselves naturally to the kind of analysis made possible by models and simulations developed with complexity science tools. This book offers a tour of quantitative analyses, models, and simulations of humanities and social science phenomena that have been historically the purview of qualitative methods. This is the first book of its kind that deals with computer modeling in both the humanities and the social sciences, and thus, simultaneously creates and explores new ground.
About the Editors:
Paul A. Youngman is associate professor of German studies at Washington and Lee University, USA, and a faculty associate at the North Carolina Complex Systems Institute. He is author of Black Devil and Iron Angel, an analysis of the aesthetic reception of the railway in nineteenth-century Germany, and We Are the Machine, a study of computers, the Internet, and information in contemporary Germany. Prof. Youngman has also authored numerous articles on technology and culture.
Mirsad Hadzikadic has over 30 years of information technology experience combining business and academic environments. He currently serves as the founding director of the Complex Systems Institute at the University of North Carolina at Charlotte, USA. Dr. Hadzikadic’s research interests include data mining, health informatics, complexity theory, brain informatics, and a systems view of policies in financial services, economics, defense, healthcare, and political science.
|11||Chapter 1: Philosophical Analysis in Modeling Polarization: Notes from Work in Progress|
Patrick Grim, Aaron Bramson, Daniel J. Singer, Steven Fisher, Carissa Flocken, and William Berger
|39||Chapter 2: Overcoming Moral Hypocrisy in a Virtual Society|
|61||Chapter 3: Evolving Games and the Social Contract|
|81||Chapter 4: Character Networks for Narrative Generation: Structural Balance Theory and the Emergence of Proto-Narratives|
Graham Alexander Sack
|105||Chapter 5: Modeling the Communications Circuit: An Agent-Based Approach to Reading in “N-Dimensions"|
|121||Chapter 6: The Potential of Agent-Based Modelling for Historical Research|
|141||Chapter 7: Complexity Theory and Political Change: Talcott Parsons Occupies Wall Street|
|161||Chapter 8: China’s Complex Policy Network|
Jerome Tan Sibayan
|183||Chapter 9: Convergence versus Emergence of Youth Extremism: An Agent-Based Model of the Arab Spring|
|203||Chapter 10: Complexity of Structure in Electronic Medical Record Systems|
Russell S. Gonnering, Gregory S. H. Ogawa, Sven-Erik Bursell, and Mark B. Horton
|221||Chapter 11: Adaptation of Foodways and Indicators of Malnutrition: Philippines as a Case Study|
Amanda L. Andrei
|241||Chapter 12: Exploiting the Synergy between the Micro, Meso, and Macro Levels in a Complex System: Bringing to Life an Ancient Urban Center|
Thaer W. Jayyousi and Robert G. Reynolds
|271||Chapter 13: Scientific Paradigms in US Policy: Is It Time for Complexity Science?|
Michael Givel and Liz Johnson
Humanities undergraduate and graduate students; humanities professors; complexity researchers; policy practitioners.
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