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Updated: Jul 6, 2026

New Variations for Strategy Set-shifting in the Rat

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

Asymmetric negotiation in structured language games.

Han-Xin Yang¹, Wen-Xu Wang, Bing-Hong Wang

¹Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|March 21, 2008

Summary

This summary is machine-generated.

An optimal influence of high-degree agents speeds consensus in naming games. Too much influence slows agreement, revealing a memory-convergence trade-off in language dynamics.

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Last Updated: Jul 6, 2026

New Variations for Strategy Set-shifting in the Rat

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

Area of Science:

Complex Systems
Computational Social Science
Network Science

Background:

The naming game is a model for language evolution and consensus formation.
Agent-based models are used to study emergent social phenomena.
Network structure significantly impacts information diffusion and agreement dynamics.

Purpose of the Study:

To investigate how high-degree agents influence consensus in the naming game.
To explore the effect of an asymmetric negotiation strategy on agreement dynamics.
To identify optimal conditions for rapid global consensus in language games.

Main Methods:

Introduction of a model parameter controlling the frequency of high-degree agent communication.
Simulation of scale-free and small-world networks using the naming game model.
Analysis of convergence speed, total memory usage, and name diversity evolution.

Main Results:

An optimal parameter value was found to maximize convergence speed to global consensus.
Excessive influence from high-degree agents was shown to inhibit consensus.
A trade-off between convergence speed and the total memory required by agents was observed.

Conclusions:

Asymmetric negotiation strategies can be tuned for efficient consensus in language games.
Network topology and agent influence interact to shape language dynamics.
Understanding these dynamics is crucial for designing effective communication systems.