Weisberg and Muldoon's epistemic landscape ABMs have been shown to produce divergent results under minor parameter changes, undermining their claim to greater representational fidelity.

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ABMs(as the research method used): Computer simulations (short for 'agent-based models') where you program individual characters or 'agents' to follow simple rules, then watch how their interactions create complex patterns.
Epistemic: "Epistemic" relates to knowledge—how we know things, what counts as knowledge, and whether we can trust what we believe to be true. It comes from the Greek word for knowledge and is used to describe questions about the reliability and validity of our beliefs and understanding. For example, "epistemic humility" means acknowledging the limits of what you can actually know for certain.
Parameter changes(as what caused different results): Small adjustments to the starting settings or rules of a computer model—like changing how stubborn agents are, or how often they talk to each other.
Weisberg and Muldoon(as researchers who developed a specific type of model): Two philosophers who created computer models to study how knowledge and disagreement spread among groups of people.
epistemic landscape(Hong-Page and Weisberg-Muldoon modeling frameworks): A formal model representing a problem space in which agents search for solutions, where the structure of the landscape affects which search strategies and agent compositions perform best
representational fidelity(as used in philosophy of mind and representation): How accurately a representation (like a map, drawing, or idea) captures the thing it's supposed to stand for.

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