Naming Game: Models, Simulations and Analysis

ISBN-13: 9783030052423 / Angielski / Twarda / 2018 / 158 str.

Guanrong Chen; Yang Lou

Opis

This book provides a gradual introduction to the naming game, starting from the minimal naming game, where the agents have infinite memories (Chapter 2), before moving on to various new and advanced settings: the naming game with agents possessing finite-sized memories (Chapter 3); the naming game with group discussions (Chapter 4); the naming game with learning errors in communications (Chapter 5) ; the naming game on multi-community networks (Chapter 6) ; the naming game with multiple words or sentences (Chapter 7) ; and the naming game with multiple languages (Chapter 8). Presenting the authors' own research findings and developments, the book provides a solid foundation for future advances. This self-study resource is intended for researchers, practitioners, graduate and undergraduate students in the fields of computer science, network science, linguistics, data engineering, statistical physics, social science and applied mathematics.

Recenzje

"Researchers who wish to reproduce the results presented in the book by their own computer codes might find this monograph very useful, as it is accompanied by several tables containing detailed information about the simulation settings and the numerical results, as well as a large number of plots about the outputs obtained by the authors in silico experiments." (Gionni Marchetti, zbMATH 1512.91002, 2023)

"The audience for this book ... interested in the naming game either as a starting point for their research or as a detailed guide to create independent simulations. For its intended audience, however, this monograph contains high quality information, clearly explained and well organized. Summing Up: Recommended. Graduate students, researchers, and professionals." (L. Benedicenti, Choice, Vol. 56 (12), August, 2019)

Spis treści

Introduction.- Preliminaries.- Finite-Memory Naming Game.- Naming Game with Multi-Hearers or Group Discussions.- Communications with Learning Errors.