# Rational choice model ## MicroSim spec - **Recommended sim type:** game-theory payoff grid - **Microsimmability score:** 60/100 - **Layout:** drawing region (canvas) on top; control region (sliders/buttons) below. ### Parameters (tunable controls) - `Payoff spread` - `Risk weight` - `Option count` ### What animates An agent ranks options by expected payoff and selects the maximizing choice as values change. ### Learning objective Show how an agent maximizing expected payoff selects among options. ## Links (Wikipedia order) <!-- injected from _registry/childlinks/Rational_choice_model.json (2026-07-30T02:09:12Z) --> `Agricultural_economics` · `Alex_Abella` · `Allais_paradox` · `Amartya_Sen` · `Ambiguity_aversion` · `Amos_Tversky` · `Analytic_hierarchy_process` · `Analytic_network_process` · `Anscombe-Aumann_subjective_expected_utility_model` · `Anthony_Downs` · `Applied_economics` · `Behavioral_economics` · `Bibliography_of_sociology` · `Biopolitics` · [[Bounded_rationality]] · 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`Subjective_expected_utility` · `Sunk_cost` · `Sure-thing_principle` · `The_New_Palgrave_Dictionary_of_Economics` · `Total_order` · `Transitive_relation` · `Transport_economics` · `Tyranny_of_small_decisions` · `Uncertainty` · `University_of_Chicago_Press` · `Urban_economics` · `Utility` · `Value_of_information` · `Von_Neumann–Morgenstern_utility_theorem` · [[Wayback_Machine]] · `Welfare_economics` · `William_E._Connolly` · `William_Stanley_Jevons` > p5.js MicroSim stub · part of Systems Science · [Wikipedia source](https://en.wikipedia.org/wiki/Rational_choice_model) > Relation: subfield of systems science. ## Concept summary The rational choice model assumes agents select actions that maximize their expected payoff given their preferences and constraints. ## Build checklist - [ ] Claim it: set `status: in-progress` + `lease` + `leased_at` - [ ] Write the child page explaining the concept (tie it back to systems science) - [ ] Finalize parameter ranges and defaults - [ ] Implement the p5.js sketch (drawing + control regions) - [ ] Add caption + the learning objective on the page - [ ] Set `status: done` ## p5.js sketch ```javascript // MicroSim: Rational choice model let controls = {}; function setup() { // createCanvas(...); create sliders for the parameters above. } function draw() { // background(...); read controls; render game-theory payoff grid; respond live. } ``` --- Back to Systems Science · Wikipedia: [Rational choice model](https://en.wikipedia.org/wiki/Rational_choice_model) --- <!-- SEMIOTIC-PROFILE:START --> ## Semiotic profile > *The semiotic universals this article invokes, machine-derived from the crossref — **unverified** (born so). Populated 2026-07-06 for the Systems room.* **Universals (3):** 🟡 science (5) · 🟡 system (5) · 🟢 optimization (3) **Enter by sign:** Systems Semiotic Gateway · Alphabetum · Icon Registry · ← Systems Portal <!-- SEMIOTIC-PROFILE:END --> ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Rational_choice_model) : [Wikitube](https://en.wikitube.io/wiki/Rational_choice_model) ## Previous hub tags Tree parents: [[Complex_system]] · [[Cybernetics]] · [[Decision_theory]] · [[Emergence]] · [[Feedback]] · [[Game_theory]] · [[Self-organization]] · [[Systems_science]] · [[Systems_theory]]. Legacy hubs: none. --- *Sources: 1 legacy note. Minted wave 1, 2026-07-30 (v1.6 order).*