Overview
- Adapts methods and insights from the social sciences and economics into biology
- Contains the latest advances in mathematical linguistics through agent-based modeling of subjective signals and responses
- Includes mathematical models and code for agent-based models to explore various scenarios of language evolution
Part of the book series: Computational Social Sciences (CSS)
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About this book
This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications. The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly in economics; it is also based on the theory of the emergence of norms and historical path dependence that has been influential in institutional economics. Also included are mathematical models and code for agent-based models to explore various scenarios of language evolution, as well as a computer application that explores language and communication in biological versus social organisms, and the emergence of various meanings and grammars in human networks.
Emergence of Communication in Socio-Biological Networks offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems.
Emergence of Communication in Socio-Biological Networks offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems.
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Emergence of Communication in Socio-Biological Networks
Authors: Anamaria Berea
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-319-64565-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-64564-3Published: 07 February 2018
Softcover ISBN: 978-3-319-87821-8Published: 06 June 2019
eBook ISBN: 978-3-319-64565-0Published: 16 December 2017
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: VIII, 88
Topics: Data-driven Science, Modeling and Theory Building, Computational Linguistics, Simulation and Modeling, Systems Biology