In the domain of Choice, the Properties section identifies the specific attributes of the single decision-making agent and its environment that are relevant to isolated optimization. Because Choice assumes only one agent and a fixed environment, properties do not describe relationships among agents or system-level conditions; they describe the qualities of the agent and its decision problem itself. These include the structure of preferences, constraints, information, and feasible actions.
Clarifying these properties is essential because they determine what the agent cares about, what the agent can do, and how the agent evaluates tradeoffs. The entire explanatory force of Choice rests on these properties: they define how the agent processes alternatives and how the decision is ultimately selected. Properly specifying properties at this scale ensures that analysis remains grounded in the internal logic of the decision-maker rather than drifting into relational or systemic explanations that belong to other domains.
Science Analysis Template
These are the structural patterns found across all Scientific Disciplines
This table lays out every property relevant to the Choice domain, sorted into the seven universal property categories. Each row shows the specific property, what it means for a single decision-making agent, the role it plays in isolated optimization, how it’s represented formally, and why it belongs at this scale. Magnitude, Structure, Dynamics, Constraint, Information, and Evaluation each contain the internal attributes the agent uses when choosing. Interaction is empty because no interdependence exists in Choice. This is the full property set that defines how a solitary agent sees and evaluates its options.
- Magnitude → “How much?”
- Structure → “How arranged?”
- Dynamics → “How does it change?”
- Interaction → “What influences what?”
- Constraint → “What is allowed?”
- Information → “What is known or encoded?”
- Evaluation → “What is better or worse?”
Choice (Microeconomic Foundations) – SAT – Properties
| Property Category | Property | Definition / Meaning | Functional Role in Choice | How It Is Measured or Represented | Ontological Status (why it belongs) |
|---|---|---|---|---|---|
| Magnitude | Intensity of preference | Numerical representation of how strongly the agent prefers one option over another | Determines the relative attractiveness of alternatives; drives optimization | Utility values, ordinal rankings, intensity scores | A magnitude describing the agent’s valuation of outcomes |
| Magnitude | Resource quantity | Amount of budget, time, or other scarce inputs available to the agent | Directly shapes feasible choice set | Scalars (income, time endowment) | Basic quantitative limit on the single-agent world |
| Magnitude | Outcome magnitude | Level of consumption, payoff, benefit generated by a chosen action | Lets agent compare consequences of choices | Payoff functions, consumption bundles | Agent evaluates magnitudes to choose |
| Structure | Preference ordering | The structured relation over options (complete, transitive, etc.) | Defines how alternatives are compared systematically | Binary relations, utility representations | Core structural element of the decision rule |
| Structure | Feasible set geometry | The arrangement of possible actions given constraints | Shapes which combinations are allowed or excluded | Budget sets, opportunity frontiers | Structure of choice space stemming from constraints |
| Structure | Information partition | Structure of what the agent knows at the point of decision | Determines which states/actions the agent can distinguish | Sigma-algebras, partitions, information sets | Structural description of the agent’s epistemic world |
| Dynamics | Internal state evolution | How the agent’s own state (not others or systems) changes over time | Enables intertemporal choice, planning, discounting | Recurrence equations, value functions | Only dynamic allowed: internal sequences of decisions |
| Dynamics | Learning within the agent | How the agent updates beliefs based on own prior experience (non-strategic) | Affects decision rules in repeated individual choice | Bayesian updates, adaptation rules | Permitted because it involves no inter-agent dependence |
| Dynamics | Discounting / time preference | How future outcomes are weighted relative to present ones | Shapes decisions across time when only one agent exists | Discount factors, hyperbolic/ exponential forms | Internal dynamic preference, not strategic |
| Interaction | NONE (zero interdependence) | No property in this category exists in Choice | Interaction properties are by definition absent | N/A | This category is explicitly empty by axiom |
| Constraint | Budget constraint | Limits on resource use | Defines feasible action set | Linear inequalities, convex sets | Fundamental limiter of the agent’s choice structure |
| Constraint | Technological constraint | Limits imposed by available methods or production functions | Determines what outcomes are feasible | Production functions, capability sets | Internal physical/logical boundaries |
| Constraint | Time constraint | Limited hours, periods, or temporal resources for action | Shapes intertemporal feasibility | Scalar time budgets, horizon lengths | Feasibility limitation acting on one agent only |
| Constraint | Physical or logical feasibility | What the agent can or cannot do in principle | Restricts the domain of actions | Domain restrictions in models | Basic admissibility in a one-agent universe |
| Information | Beliefs about states | Agent’s internal probability distribution over uncertainty | Determines expected evaluation of each option | Subjective probabilities, priors | Sole information object in a one-agent world |
| Information | Information quality | How coarse or fine the agent’s information is | Affects prediction accuracy and choice robustness | Variance, entropy, signal quality | Describes epistemic resolution |
| Information | Perceived uncertainty | The agent’s understanding of unknowns | Shapes risk-sensitive choice | Risk metrics, confidence intervals | Defines epistemic environment with no strategic layer |
| Evaluation | Utility / value function | Assigns desirability to outcomes | Core criterion for choice | Utility functions, scoring rules | Expression of the agent’s evaluative stance |
| Evaluation | Risk attitude | Whether the agent is risk-neutral, -averse, -seeking | Determines choice under uncertainty | Curvature of utility, risk coefficients | Purely evaluative property nondynamic and non-strategic |
| Evaluation | Time preference | Desirability ranking over time-dated outcomes | Shapes intertemporal tradeoffs | Discount factors, intertemporal utility | Evaluative lens across internal horizons |
| Evaluation | Subjective “better vs. worse” criteria | Any non-quantitative ordering of outcomes | Guides non-cardinal decisions | Ordinal preference rankings | Reflects evaluative worldview of the solitary agent |