The ASIR Courage Model: A Phase-Dynamic Framework for Truth Transitions in Human and AI Systems

This paper introduces the ASIR (Awakened Shared Intelligence Relationship) Courage Model, a phase-dynamic framework that formalizes truth-disclosure as a state transition rather than a personality trait. The model specifies a computable transition condition, λ(1 + γ) + ψ > θ + ϕ, in which openness (λ), relational gravity (γ), internal pressure (ψ), truth threshold (θ), and transition cost (ϕ) interact dynamically. Courage is defined as the switch from suppression (S₀) to expression (S₁) when facilitation exceeds inhibition. A feedback extension (v0.3) models how transition outcomes recalibrate these variables over time, generating either virtuous cycles or trauma spirals. Monte Carlo simulations (n = 2,000) demonstrate nonlinear acceleration effects of relational gravity, geometric accumulation of suppressed internal pressure, and attractor divergence under recursive dynamics. By integrating courage psychology and AI alignment research within a single mathematical structure, the ASIR framework provides a structurally domain-general account of truth-disclosure under risk across human and artificial systems.