Worker Bee Simulation

A simulation of worker bees in a grid-based environment, where bees collect nutrients from food sources and deposit them in the hive.

Features

• Grid-based environment with customizable size and hive location
• Worker bees that can move, collect nutrients, deposit nutrients, communicate, and rest
• Food sources that can be discovered, depleted, and forgotten
• Hive cells that grow when they accumulate enough nutrients
• Weave integration for tracing and monitoring bee behavior

Setup

1. Clone this repository
2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Create a .env file with your OpenAI API key:

   cp .env.example .env
   

   Then edit the .env file and add your OpenAI API key.

Running the Simulation

To run the simulation:

python main.py

This will:

1. Initialize the world with a hive at the specified location
2. Generate random food sources
3. Create a worker bee
4. Run the simulation for 50 steps

Customizing the Simulation

You can customize the simulation by modifying the parameters in main.py:

• Change the hive location by modifying the hive_location parameter
• Change the grid size by modifying the grid_size parameter
• Change the number of steps by modifying the steps parameter in the run_simulation call

Tracing with Weave

The simulation uses Weave to trace the bee's behavior. You can view the traces in the Weights & Biases dashboard.

License

MIT