Visually simulate markets of basic consumers and producers. Built on zig-gamedev. Download from the latest release or build from source.

• This simulation has two basic agents: Consumers and Producers.
• Consumers are the circles. Producers are the squares.
• Producers create resources and Consumers consume these resources.
• The size of both Producers and Consumers grows to show how many resources they currently have.
• This is called their inventory.
• When Consumers have no inventory they turn red, otherwise they are green.
• Whenever Consumers are empty they travel to a Producer and try to buy more resources before returning home.
• Consumers choose the Producer which has the largest inventory from which they can buy.
• If two Producers have the same inventory then the closest Producer is chosen.
• Consumers and Producers both have money in this simulation.
• Consumers have a constant income.
• Producers only receive money when a consumer buys from them.
• The price at which this transaction occurs is controlled via the Price Sold slider.
• Producers use their money to produce resources at the current Production Cost.
• To keep things constrained there is a maximum amount of money Consumers and Producers can hold.
• The grey circle around a consumer shows how much it could buy right now at the current price.
• The white square around a producer shows how much it could produce right now at the current production cost.

Parameters:

• Number of Producers
• Production Cost
• Price Sold
• Max Production Rate
• Producer Max Money
• Producer Max Inventory
• Decay Rate
• Number of Consumers
• Consumer Income
• Consumer Max Money
• Moving Rate

Data Gathered:

• Transactions per second
• Empty Consumers
• Avg Producer Inventory
• Avg Producer Money
• Avg Consumer Inventory
• Avg Consumer Money
• Total Producer Inventory

• Git
• Git LFS
• Zig 0.14.1.

git clone https://github.com/ckrowland/markets.git
cd markets
zig build run

• Manually place position of consumers and producers.
• Each producer and consumer grouping has individual parameters.

• Very similiar to the random simulation.
• Have input parameters controlled via a wave timeline.