# Dooders
> Reality works; simulate it.
## Overview
Dooders is an open-source research project focused on the development of artificial intelligent agents in a simulated reality. The project aims to enable the conditions and mechanisms for cognitive agents to evolve and emerge in a digital environment.
A [Dooder](docs/Dooder.md) is an agent object in the simulation with an amount of causal control. It acts in the simulation only as long as it consumes [Energy](https://github.com/csmangum/Dooders/blob/main/docs/Energy.md).
Take a look on how a Dooder will [learn and act](https://github.com/csmangum/Dooders/blob/main/docs/Learning.md), get an overview of the [core components](https://github.com/csmangum/Dooders/blob/main/docs/Core.md) of the library, or read [why I started the project](https://github.com/csmangum/Dooders/blob/main/docs/Why.md).
I will also be documenting experiments in [substack](https://rememberization.substack.com/p/experiment-list). Including the results from my [first experiment](https://rememberization.substack.com/p/experiment-1-single-simulation).
***The code, content, and concepts will change over time as I explore different ideas.***
***Everything in this repository should be considered unfinished and a work-in-progress***
### How to use it
```python
from dooders import Experiment
experiment = Experiment()
experiment.simulate()
experiment.experiment_summary()
# Example output using the default settings
# This simulation ended after 53 cycle when
# all Dooders died from starvation
{'SimulationID': 'XGZBhzoc8juERXpZjLZMPR',
'Timestamp': '2023-03-09, 18:20:33',
'CycleCount': 53,
'TotalEnergy': 634,
'ConsumedEnergy': 41,
'StartingDooderCount': 10,
'EndingDooderCount': 0,
'ElapsedSeconds': 0,
'AverageAge': 14}
```
For more details, see the [Quick Start guide](docs/QuickStart.md).
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