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Reflective Satisficing: Beyond the Classical Speed–Accuracy Tradeoff

Creative Commons 'BY' version 4.0 license
Abstract

Classical satisficing was grounded in single computation. However, when cognitive processing is delegated to external agents, cognitive modes (System 1/2) become dual and isomorphic, creating a 2_2 intersection. This study identifies four cognitive resource allocation patterns arising from this intersection as Reflective Satisficing (RS): co-constrained compromise that bypasses verification (Mode 1: S1_S1), control recovery through manual verification (Mode 2a: S2_S1), structural futility where effort fails to convert to accuracy (Mode 2b: S1_S2), and optimal allocation leveraging external resources as epistemic scaffolding (Mode 3: S2_S2). The Speed-Accuracy Tradeoff (SAT) predicts that deliberation improves accuracy. Extended cognition expands this landscape in both directions. Mode 3 (77% prevalence) achieves gains beyond the classical curve—deliberation augmented by epistemic scaffolding. Yet we also identify a region where SAT breaks: Mode 2b (84% prevalence), where users lose both speed and accuracy, which derives from the mutual opacity we call the Unlit Black Box (UBB).