Complexity and the Human Experience

Paul A. Youngman is associate professor of German studies at Washington and Lee University, USA, and a faculty associate at the Complex Systems Institute, University of North Carolina at Charlotte (UNC Charlotte), USA. 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 UNC Charlotte. 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.

• Preface, Introduction: Computer Modeling in Humanities and Social Sciences, Part 1: Complex Adaptive Systems in the Humanities, Part 2: Complex Adaptive Systems in the Social Sciences, Index

"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