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.
The theory of complexity 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 can
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 complex science tools. This volume
offers a tour of quantitative analyses, models, and simulations of
humanities and social science phenomena that have been historically
the purview of qualitative methods. "
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