ΨI Dynamics in Human Decision-Making: Intuition, Noise, and the Physics of Choice

This paper addresses a conceptual confusion at the heart of contemporary decision science. Kahneman and Tversky's prospect theory documented systematic biases in human judgment with extraordinary empirical precision. The standard interpretation attributes these biases to intuition — specifically to System 1's fast, automatic processing. We argue that this interpretation conflates two physically distinct phenomena: genuine intuition (field-mediated resonance between an organism and the organizational reality it inhabits, carrying information prior to conscious elaboration) and the neural habitual path (conditioned response trajectories activated by pattern-matching to learned associations). The confusion is not terminological. The two phenomena produce opposite prescriptions for decision-making under uncertainty. We present the ΨI information field framework as the physical substrate of genuine intuition, describe the five-stage transduction cascade through which field information reaches conscious representation, and develop a formal model of decision dynamics in which the habitual path enters as an additive noise term distorting the field signal. Using this model, we derive a functional utility extension of prospect theory's value function that incorporates the organism's alignment with its own organizational field state. Empirical evidence from three populations (N=131, 2006–2016) confirms the primary prediction: alignment with the recovered field signal (R.7) is the single strongest predictor of decision satisfaction, with correlations of 76% (utility) and 79% (functionality). A further prediction — robustness inversion under model reduction — is confirmed. Six additional falsifiable predictions are stated. Three open problems are identified.