The A Priori Delphic Decision Model: Expert Judgment, Iterative Convergence, Weighted Factors, and the Actualization of Possible Futures

This a priori conceptual paper develops the Martinez A Priori Delphic Decision Model from a 2006 graduate professional paper completed at Colorado State University. The original study used pilot testing, expert factor generation, iterative Delphi rounds, attribute-level ordinal scoring, factor ranking, normalized weights, favorable-response ratios, weighted risk analysis, and decision-support-system design to evaluate a small real-estate development decision. The stakeholder categories, financial calculations, risk variables, and management factors used in the 2006 study were informed by concurrent graduate coursework in business administration at Regis University and technology-oriented study at Colorado Technical University. Although many of the original course papers no longer survive, their concepts in finance, stakeholder analysis, organizational decision-making, information systems, databases, and process design were incorporated into the Colorado State University study. The paper reframes the earlier applied work into an a priori model suitable for later testing. It distinguishes expert consensus from truth, favorable-response ratios from statistical probability, and conceptual functions from validated empirical measures. It also introduces Delphic Actualization, the process through which a forecast becomes causally active when institutions allocate authority, money, time, attention, personnel, or resources according to it. The model traces a full decision sequence from environmental conditions and expert interpretation through factor formation, possibility mapping, outcome assessment, weighted decision-making, institutional authorization, resource allocation, and changed reality. The paper also establishes a methodological foundation for the Meta-Mythic Cognitive Model and Meta-Mythic Delphic Fiction.