Naming Game Models, Simulations and Analysis /

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 w...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Chen, Guanrong (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Lou, Yang (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Emergence, Complexity and Computation, 34
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Naming Game  |h [electronic resource] :  |b Models, Simulations and Analysis /  |c by Guanrong Chen, Yang Lou. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a IX, 158 p. 89 illus., 70 illus. in color.  |b online resource. 
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490 1 |a Emergence, Complexity and Computation,  |x 2194-7287 ;  |v 34 
505 0 |a Introduction -- Preliminaries -- Finite-Memory Naming Game -- Naming Game with Multi-Hearers or Group Discussions -- Communications with Learning Errors. . 
520 |a 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. . 
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