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nexusstc/Complexity and the Human Experience: Modeling Complexity in the Humanities and Social Sciences/895359234f2049ff585e1038c7f67dbf.pdf
Complexity and the Human Experience : Modeling Complexity in the Humanities and Social Sciences / edited by Paul A. Youngman, Mersad Hadzikadic 🔍
Paul A. Youngman, Mirsad Hadzikadic, Theodore D. Carmichael Jenny Stanford Publishing, Online-ausg, Boca Raton, FL, 2014
English [en] · PDF · 15.4MB · 2014 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
description
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.
Alternative filename
lgli/Complexity and the Human Experience Modeling Complexity in the H-9789814463263.pdf
Alternative filename
lgrsnf/Complexity and the Human Experience Modeling Complexity in the H-9789814463263.pdf
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zlib/Engineering/Paul A. Youngman, Mirsad Hadzikadic/Complexity and the Human Experience: Modeling Complexity in the Humanities and Social Sciences_2370237.pdf
Alternative author
Paul A Youngman; Mirsad Hadžikadić
Alternative author
Mirsad Hadzikadic; Paul A Youngman
Alternative publisher
CRC Press : Pan Stanford Publishing
Alternative publisher
Pan Stanford Publishing, Singapore
Alternative publisher
Pan Stanford Publishing Pte Ltd
Alternative publisher
Taylor & Francis Group
Alternative publisher
Taylor & Francis Ltd
Alternative edition
United Kingdom and Ireland, United Kingdom
Alternative edition
Singapore, Singapore
Alternative edition
Singapore, 2014
Alternative edition
1, PS, 2014
metadata comments
0
metadata comments
lg1201866
metadata comments
{"isbns":["0429082398","9780429082399","9789814463263","9789814463270","9814463264","9814463272"],"last_page":304,"publisher":"Jenny Stanford Publishing"}
Alternative description
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 complexity 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 models.--back cover
Alternative description
Annotation 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. 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
Alternative description
Part 1. Complex adaptive systems in the humanities -- part 2. Complex adaptive systems in the social sciences
date open sourced
2014-08-15
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