Intuition and Noise in Decision-Making
摘要
This study investigates how intuition, accessed via introspective methods (e.g., dream analysis and physiological monitoring), enhances high-impact decision-making by transcending the limitations of traditional analytical frameworks like prospect theory. Across a decade of research (2006–2016), 131 participants—entrepreneurs, professionals at career crossroads, and psychologists—engaged in structured introspection to evaluate intuitive insights alongside heuristic, emotional, and physiological responses. Results revealed that intuition provides substantive insights often overlooked by conventional methods, with physiological data (e.g., biophotonic energy, autonomic synchrony) confirming heightened activation during intuitive states. Decisions aligned with intuitive outcomes demonstrated significantly higher effectiveness and satisfaction, as they mitigated cognitive biases (e.g., framing effects) and leveraged latent perceptual dimensions. Furthermore, we propose a novel mathematical model unifying prospect theory with information field dynamics ( \(\Psi_{{\text{I}}}\) ), formalizing intuition as a resonance between individual and environmental informational states. These findings advocate for integrating intuition into decision science, offering empirical and theoretical support for its role in optimizing high-stakes choices—a principle long championed by pioneers from Einstein to modern behavioral economists.