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Heterogeneous decision-making dynamics of threshold-switching agents on complex networks
1College of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, China.
Chaos (Woodbury, N.Y.)
|December 27, 2023
Summary
Agents
Area of Science:
- Network science
- Game theory
- Agent-based modeling
Background:
- Decision-making in two-player scenarios is influenced by neighbors' actions.
- This phenomenon is observed in traffic, crowd behavior, and network problems.
Purpose of the Study:
- Investigate heterogeneous agent decision-making on complex networks.
- Analyze the impact of threshold settings on strategy adoption.
Main Methods:
- Utilized best-response dynamics on various network structures.
- Performed equilibrium analysis and quantitative relationship derivation.
- Conducted robust experiments on networks with uniform and non-uniform degree distributions.
Main Results:
- Strategy adoption is a linear function of threshold settings in uniform networks.
- Threshold-switching influence is weakened in non-uniform networks.
- Degree distribution, not average degree, impacts strategy evolution.
Conclusions:
- Agent decision-making can be manipulated by tuning utility function parameters (thresholds).
- Effective manipulation is more feasible in regular network structures.
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