Ontology of Digital Simulations: From Virtual Worlds to Predictive Models: Investigation of whether simulated environments hold ontological parity with empirical data Ontology of Digital Simulations: From Virtual Worlds to Predictive Mode

Abstract

Digital simulations have become integral across scientific, educational, and societal domains, offering innovative ways to replicate and enhance real-world phenomena. This paper explores whether digital simulations can achieve ontological parity with empirical data, examining their epistemological contributions and inherent limitations. It synthesizes insights from theoretical frameworks, real-world applications, and philosophical debates, particularly representationalism and constructivism, to evaluate the status of simulations in relation to empirical observations. While simulations demonstrate remarkable epistemic utility in domains such as climate science, personalized medicine, and virtual reality, they remain ontologically distinct due to their reliance on theoretical assumptions and predefined models. The paper also considers advancements in AI and self-evolving simulations, highlighting their potential to challenge traditional notions of representation and autonomy. These findings provide a comprehensive understanding of the evolving role of digital simulations in reshaping scientific inquiry, decision-making, and our perceptions of reality.