RPCS-1: Receiver Parameter Classification System A Parametric Framework for Behavioral and Cognitive Profile Assessment Based on the Information Manifold Model

The Receiver Parameter Classification System (RPCS-1) introduces a continuous parametric framework for modeling behavioral and cognitive variation based on the Information Manifold Model (IMM). Rather than classifying individuals through discrete behavioral labels, RPCS-1 models cognition as a dynamical system defined by a receiver configuration R = (TI, SG, FT, UE, AR), interacting with an informational environment E = (H, P). Behavioral output is treated as a projection of underlying system dynamics rather than a primary classification target. The framework formalizes stability through a potential function V(R, E), enabling analysis of regime transitions such as stability, oscillation, overload, rigidity, and sluggishness. It further reframes traditional diagnostic categories (e.g., ADHD, ASD, OCD) as regions within a continuous receiver manifold rather than discrete conditions. RPCS-1 provides: - A geometric foundation for cognition via the informational manifold M - A parametric alternative to DSM-style categorical diagnosis - A stability-based model of behavior under environmental interaction - A methodology for inverse inference of cognitive structure from behavior This work contributes to computational psychiatry, cognitive systems theory, and dynamical systems modeling of human behavior.