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Emergence of Communication in Socio-Biological Networks

  • Book
  • © 2018

Overview

Authors:
  1. Anamaria Berea

    1. Robert H. Smith School of Business, University of Maryland, College Park, USA

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  • 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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Table of contents (8 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Anamaria Berea
    Pages 1-3

  3. Economics of Information Meets Social Networks: From Hayek’s Mental Maps to Mathematical Linguistics

    • Anamaria Berea
    Pages 5-13

  4. Heterogeneity and Subjectivism in Communication: From Trust and Reputation Mechanisms to Linguistic Norms and Collective Behavior

    • Anamaria Berea
    Pages 15-29

  5. Constructed Language Versus Bio-chemical Communication: An Agent-Based Model and Applications

    • Anamaria Berea
    Pages 31-49

  6. Intra Versus Interspecies Communication: Boundaries and Advances

    • Anamaria Berea
    Pages 51-62

  7. Social Versus Biological Language: The Emergence of Grammar and Meaning

    • Anamaria Berea
    Pages 63-67

  8. Applications of Language Emergence: The Future of Languages, Scenarios, and How to Use Computational Social Science Tools

    • Anamaria Berea
    Pages 69-75

  9. Conclusions

    • Anamaria Berea
    Pages 77-78

  10. Back Matter

    Pages 79-88
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Keywords

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.

Authors and Affiliations

  • Robert H. Smith School of Business, University of Maryland, College Park, USA

    Anamaria Berea

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