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The Triangle of Intelligence: Observation, Critique, and Calculation as Jointly Necessary Conditions for Rational Agency

Deshimaru, Sakaguchi
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philosophy
Critical thinking pedagogy widely endorses critique as an educational and professional goal while leaving comparatively unexamined the observational and calculative components any critique must be grounded in and must eventually produce. This paper develops a formal model of rational agency as requiring three jointly necessary components — observation, critique, and calculation — and shows that omitting any single component produces one of three qualitatively distinct and independently recognizable failure modes: belief, when critique operates without observation; automation, when calculation operates without critique; and the critic's paralysis, when observation and critique are sustained indefinitely without ever terminating in calculation. Omitting observation and critique together, while calculation remains, produces a fourth and qualitatively distinct compound failure — the dictator's logic — shown to be more dangerous than either contributing single omission because it retains no internal resource, in either direction, from which correction could proceed. The model is situated against Quassim Cassam's account of epistemic vice and grounded further in Irving Janis's analysis of groupthink, read as evidence that the compound failure can arise at the level of a group's social structure rather than requiring any single authoritarian actor, and in Janis and Mann's independent work on decisional hypervigilance, read as evidence for the critic's paralysis as a documented pattern in its own right. The paper argues that a trained AI system optimizing a fixed objective over compressed, unflagged input is, by default, positioned close to the compound failure, and that avoiding this outcome requires building genuine observation, critique, and calculation into a system's architecture as load-bearing components. The paper's account is reconciled with a companion proposal that AI systems defer substantive value judgments to the humans affected, showing that such deference is what a fully triadic reasoning process concludes when it turns its own critique faculty on the scope of its own calculation, rather than a lapse into the critic's paralysis this paper independently identifies as a failure mode in its own right.
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