The Constraint-Conflict and Discovery Principle (Ccdp)

The Constraint-Conflict and Discovery Principle (CCDP) is proposed as a generalizedframework for analyzing situations in which multiple constraints and objectives interactwithin a bounded action space. The central question is whether an available action or actionpath can satisfy the relevant constraints while simultaneously achieving the specified objectives.When separately feasible constraints and objectives have no jointly feasible solution, themodel identifies a conditional form of constraint objective incompatibility.The framework originates from a primary interpersonal case in which a person obtainsrelationship-relevant information through an action that may violate a personal boundary.The case is retained as a recurring analytical example but is not treated as the exclusivedomain of the theory. The generalized architecture separates normative permissibility,information acquisition, evidence reliability, objective attainment, action-space restrictions,and subsequent decision-making.The proposed model introduces a state-action representation, constraint-satisfactionsets, objective-attainment sets, trajectory-based feasibility, information-gain measures, anda multidimensional conflict taxonomy. It distinguishes apparent conflict, operational trade-offs, normative dilemmas, epistemic access conflicts, structural incompatibility, and logicalcontradiction. It also defines a research program involving operationalization, counterexampleanalysis, falsifiable hypotheses, comparative literature review, and cross-domain validation.The mathematical statements established within the document are conditional results fol-lowing from explicit definitions and assumptions. They do not establish empirical universalityor the independent novelty of the framework. Further work is needed to determine whetherCCDP provides explanatory or predictive value beyond existing approaches in deontic logic,constraint satisfaction, information theory, dynamic systems, and multi-objective decisionanalysis.