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Decision-making

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Strategy: Purpose, Commitment, and Action Under UncertaintyAn examination of strategy as intention, commitment, and realized action, with distinctions from policy, plans, tactics, and objectives, and tests of evidence and legitimacy. Conceptual and Logical Thinking: From Classification to ActionConceptual thinking organizes classifications and logical thinking constrains inference. This essay maps perception, causation, probability, creativity, criticism, systems, strategy, decision, and metacognition. Expected Value: Probability, Risk, and DecisionExpected value is a probability-weighted mean, not a prediction of the next outcome. This essay explains its mathematics, uses, limits, relation to risk, and role in decision theory. Mental Models: Representation, Prediction, and ActionMental models simplify situations so that we can understand and simulate them. This article separates representation, explanation, inference, prediction, decision, and feedback models. Decision-Making: Judgment, Choice, and CommitmentDecision-making is not a moment of selection or a guarantee of good outcomes. It turns uncertain possibilities, evidence, and values into a revisable commitment to act. The Human-AI Action Loop: Interpretation, Coordination, and FeedbackPeople express partial intentions, AI systems construct revisable task models, and action plus feedback lets both sides correct goals, plans, and evidence. AI Reasoning and Action: From Model Generation to Agent ExecutionA functional account of language-model reasoning, the limits of visible chains of thought, and the architecture that turns a model into an agent acting through tools. Strategy and Tactics: Goals, Choices, and ExecutionA systematic distinction between strategy, tactics, goals, plans, operations, and execution, with a practical test for locating the boundary.