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This update introduces three new features—random_event, change_opinion, and stubbornness—that enhance the agent opinion dynamics model.
random_event: Adds a low-probability random event to each model step, which, when triggered, invokes change_opinion to influence opinions in a small neighborhood, adding an external influence factor.
**change_opinion:** Changes the opinions of agents within a specified radius around a random grid point, simulating local events affecting nearby agents.
stubbornness: Adds a stubbornness attribute to each agent, representing resistance to changing opinions. Higher values make agents less likely to adopt the majority opinion, adding individuality to agent behavior.
These updates introduce variability, local influence, and diversity in opinion changes, making the model more dynamic.