Automata networks for multi-party communication in the Naming Game
Javier Vera, Pedro Montealegre, Eric Goles

TL;DR
This paper introduces an automata networks framework for the Naming Game to model multi-party communication, analyzing convergence under various updating schemes through simulations.
Contribution
It defines an automata networks approach for multi-party interactions in the Naming Game and proves convergence for different updating orders.
Findings
Automata networks effectively model multi-party Naming Game dynamics.
Convergence is proven for three different updating schemes.
Simulations replicate key features of the Naming Game dynamics.
Abstract
The Naming Game has been studied to explore the role of self-organization in the development and negotiation of linguistic conventions. In this paper, we define an automata networks approach to the Naming Game. Two problems are faced: (1) the definition of an automata networks for multi-party communicative interactions; and (2) the proof of convergence for three different orders in which the individuals are updated (updating schemes). Finally, computer simulations are explored in two-dimensional lattices with the purpose to recover the main features of the Naming Game and to describe the dynamics under different updating schemes.
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Taxonomy
TopicsCellular Automata and Applications · DNA and Biological Computing · Computability, Logic, AI Algorithms
