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Decision-making

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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.