This article introduces the "Evolutionary Pragmatist Approach" within the philosophy of science, a framework that conceptualizes rationality not as a static set of rules but as a dynamic, problem-oriented, and evolutionary process. Drawing parallels between Darwinian selection and classical pragmatism, the author argues that cognitive systems evolve through a continuous cycle of generating variations, competition among hypotheses, and selection based on practical effectiveness. Unlike traditional approaches that seek absolute truth, this model posits that the primary criterion for success is the capacity to reduce error and achieve incremental adaptation to reality. The article explores the "situatedness" of human understanding, distinguishing it from mere relativism by emphasizing how the resistance of the material world imposes objective constraints on our interpretations. The efficacy of this approach is tested across diverse domains, including the experimental sciences, mathematics, and contemporary artificial intelligence. By advocating for a structural fallibilism, the paper concludes that rationality is an unfinished project that requires a combination of epistemic humility and practical courage in navigating a complex and changing universe.
Ramin Saadat (2026) studied this question.