Notes
Public notes on concepts, evidence, and action, alongside methods and reflections from real projects.
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.
Logic: Premises, Conclusions, and Valid InferenceLogic studies consequence and inferential commitment. This essay explains truth, validity, soundness, deduction, induction, abduction, and the boundaries between logic, fact, probability, and causation.
Concepts: How We Classify and Understand the WorldConcepts make recognition, classification, and inference possible. This essay separates concepts, words, and objects, then examines intension, extension, prototypes, boundaries, counterexamples, and revision.
Rules and Principles: Reasons, Constraints, and Responsible ActionRules state actionable requirements; principles supply reasons for creating, interpreting, and revising them. This essay separates norms, policies, standards, procedures, controls, and AI constraints.
Logic and Probability: Deduction, Uncertainty, and EvidenceLogic constrains what follows from premises; probability represents uncertainty and evidential support. This essay separates truth, validity, credence, conditional probability, Bayes, causation, and AI generation.
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.
Expectation: Belief, Hope, Norms, and ActionExpectation can be a forecast, a hope, a social standard, or a belief about what action can achieve. This essay separates those meanings and connects them to intention, decision, and feedback.
Systems: Boundaries, Interactions, and AIA system is more than a collection of parts. This essay explains boundaries, interactions, state, feedback, emergence, purpose, and why an AI model is only one component of an AI system.
Entities: Identity, Reference, and AI SystemsAn entity is something treated as having a distinguishable identity. This essay separates mentions, names, classes, records, and real-world referents across philosophy and AI.
Ontology: What Exists and What AI Can RepresentOntology concerns what exists, the categories and identity conditions of entities, and their basic relations. In AI, those commitments become an explicit domain model.
Products, Goods, and What Customers Actually BuyProducts organize capabilities for use; market offerings specify what is exchanged. This essay separates products, goods, services, commodities, and offerings, then connects them to needs and outcomes.
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.
Mental Representation: How Minds Carry ContentMental representations are content-bearing states involved in perception, memory, imagination, reasoning, and action. This essay examines their targets, vehicles, formats, errors, and philosophical limits.
User Intent, Brand, and Product FitUser intent belongs to the demand side, products carry supply capabilities, and brands connect discovery, expectation, and trust. Fit emerges through use, outcomes, and revision.
Brand and Product: Delivery, Expectation, and TrustA product organizes capabilities into an experience people can use. A brand organizes recognition, expectation, memory, and accountability around the source of that experience.
Human Thinking: Representation, Reasoning, and ActionThinking is more than inner speech or formal logic. It uses concepts, images, memory, emotion, bodily states, and external tools to build judgments, imagine possibilities, and guide action.
Causation: Difference-Making, Mechanisms, and ReasonsA causal claim says more than one event followed or predicted another. It connects difference-making, intervention, counterfactual dependence, and mechanism while separating causes from evidence, reasons, and purposes.
Philosophy: Concepts, Reasons, and the Limits of InquiryPhilosophy makes the frameworks of thought visible. It examines what exists, what can be known, how reasons support conclusions, and what is worth doing.
Needs: Conditions, Motivation, and Market DemandA need links a person, a situation, an outcome, and a required condition. This essay separates needs from wants, demand, intentions, requirements, and products, and places Maslow's hierarchy in context.
Words, Concepts, and Objects: Reference and ReasoningA practical distinction among parts of speech, semantic content, ontological categories, and the roles concepts play in reasoning.
Living Without a Given PurposeA philosophical and psychological account of meaning in life, resilience under adversity, and the choice to continue without cosmic guarantees.
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.
Time: Meaning, Metaphysics, and PhysicsA systematic account of temporal order, duration, metaphysical theories of time, relativity, entropy, quantum theory, and temporal experience.
User Intent in AI: Inference Under UncertaintyWhat AI systems mean by user intent, how prompts support competing interpretations, and why confirmation improves action without revealing a private mental fact.
Probability and Bayes: Uncertainty, Evidence, and Rational UpdatingThe mathematics of probability is precise, but its meaning is contested. Bayes' rule shows how conditional probabilities relate without turning uncertainty into truth.
Philosophy, Cognition, and Psychology: Concepts, Minds, and BehaviorPhilosophy examines concepts and standards, cognition names the processes that make understanding possible, and psychology studies those processes in living beings.
Intention: How a Commitment Organizes ActionWhy intending is more than wanting, how intentions guide plans and action, and what they can—and cannot—tell us about responsibility.
How X Ranks a Post: Predictions, Weights, and FiltersA source-level guide to X's Phoenix ranking pipeline at commit b089ce64—and why published weights are not an exchange rate for likes, replies, or shares.
Games and Game Theory: Strategy, Equilibrium, and InstitutionsA game is a model of interdependent choice. This guide explains strategies, best responses, Nash equilibrium, cooperation, and the limits of formal rationality.
Facts, Opinions, and Stances: Description, Judgment, and ActionA conceptual guide to the difference between what is the case, what someone judges, and how someone is oriented to respond.
Moonment Reading Map: From Understanding to Action and FeedbackA map of the questions, subject relationships, analytical patterns, and accumulated structure across Moonment's essays.