Logic Delta: An Instructional Design Framework for Productive Inference Architecture

Logic Delta is an instructional design framework for architecting productive inference in designed environments. It proposes that the primary design decision in any learning environment is not what the world looks like, but what cognitive event the learner must perform to navigate it. Operating at the intersection of situated cognition, multimodal semiotics, and narrative architecture, Logic Delta positions designed environments — whether physical spaces, generated worlds, narrative encounters, or assessment experiences — as inference architectures: structures that withhold specific information in order to require the learner to produce it. This paper articulates the theoretical foundations of Logic Delta, distinguishes it from adjacent frameworks in game design and narrative design, identifies historical precedents across visual art, architecture, and interactive media, and demonstrates its application in the MythOS learning ecology (Fit4Global Learning Systems, 2026). The central claim is that as generative AI makes environment production increasingly cheap, the scarcity that determines learning value shifts irrevocably to the architecture of the cognitive event