Is this good for educators?

Yes — this version of "Game Theory (Nash) for a vehicle-routing run" is framed for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs.

Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Educators · Game Theory (Nash)

Game Theory (Nash) for a vehicle-routing run

Built for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs. Simulate a vehicle-routing run live below — adjust the inputs and watch it respond, right in your browser.

Game Theory (Nash)Live

2×2 strategic games

Row player vs Column player

	Cooperate	Defect
Cooperate	3 3	0 5
Defect	5 0	1 1 Nash

cyan = row payoff · green = column payoff

Controls

A Nash equilibrium is a pair of strategies where neither player can do better by unilaterally changing — the cornerstone of game theory. In the Prisoner's Dilemma both defect even though cooperating pays more; Matching Pennies has no pure equilibrium at all. Highlighted cells are the pure-strategy Nash equilibria.

▶ Run in Python

Data Inspector

GamePrisoner's Dilemma

Pure Nash equilibria1

Typedominant

Governing equation

((3, 3) (5, 0) (0, 5) (1, 1)), u_{i} (s_{i}^{*}, s_{- i}) \geq u_{i} (s_{i}, s_{- i})

Reading this result: The lone equilibrium has both players defect, even though mutual cooperation pays more — individually rational, collectively worse.

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Frequently asked questions

Is this good for educators?: Yes — this version of "Game Theory (Nash) for a vehicle-routing run" is framed for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.