ABSTRACT
This paper establishes formal bounds on perspectivist modeling by integrating insights from scientific perspectivism, computational complexity theory, and cognitive science, characterizing the relationship between epistemic perspective, cognitive resources, and representational fidelity.
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Key findings
The complexity of a target system imposes fundamental limits on the number of simultaneously satisfiable modeling perspectives.
Cognitive constraints introduce trade-offs between perspectival breadth and depth.
These bounds exhibit phase-transition behavior at critical complexity thresholds.
Limitations & open questions
Further research is needed to extend the framework to other domains beyond systems biology and climate science.