Skip to content

Instantly share code, notes, and snippets.

@jonnyarnold jonnyarnold/
Last active Mar 15, 2016

What would you like to do?
Optimal Foraging Theory: The Game

Decision-Making: An Experiment

Participant Instructions

Let's play a game.

The aim is to have the most points at the end of the game.

On every turn of the game, you can either:

  • Lose 1 point and take a card. A card is worth points.
  • Trade in a card for points. This ends the game (all other cards are thrown away).

We will play the game 5 times.

Instructions for the Laboratory

You will need 96 cards, normally distributed around 10 with a standard deviation of 5:

Value Number of Cards
1 / 2 / 18 / 19 2
3 / 17 3
4 / 16 4
5 / 15 5
6 / 14 6
7 / 8 / 12 / 13 7
9 / 10 / 11 8

Experiment Design

The aim of this experiment is to gather information on how people react in a situation where there is a cost for getting more information. We believe this is similar to deciding which products to buy: we exchange our own time in order to find more information.

We expect the results to follow a model consistent with the marginal value thorem.


  • Can we get closer to the real-life situation of 'spending time to get more information'?
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
You can’t perform that action at this time.