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Ecosystem with animats for development of Artificial General Intelligence

Project description


Reference code for:

A General Model for Learning and Decision-Making in Artificial Animals by
Claes Strannegård, Nils Svangård, David Lindström, Joscha Bach
and Bas Steunebrink

Submitted to IJCAI-17 AGA workshop, Melbourne, Australia

This repo is work in progress and will contain a completely refactored
version of the original code. The repo [ecosystem](
contains the old version of the framework (which isn't maintained anymore).


The easiest way to install `animatai` is with `pip install animatai`

At least Python 3.5 is needed since `async` is used in the web sockets server

Run the program

Examples using the ecosystem classes are available in the
repo [examples](

A little setup is needed first:

* Create ``. Start with copying `` and try some of
the examples from the repo mentioned above.

Start a web server and a browser:

* Run the server: `python`
* Run `index.html` in a browser and follow the instructions.


First setup a development environment. I'm using `virtualenv`:

* First init `virtualenv` for Python3: `virtualenv -p python3.6 venv3`
(`virutalenv` needs to be installed)
* Activate `virtualenv`: `source venv3/bin/activate`
* Install the necessary Python packages: `pip install -r requirements.txt`.
Add `--no-compile` when running on ubuntu.

Use [Google Style Guide](
and make sure that the unit tests are maintained.

Build (lint and run unit tests) with: `./`
Building will also Create a source distribution in the `dist` folder.

Upload the build to the public package repo for installation with `pip`:
`twine upload dist/animatai-X.Y.Z.tar.gz`


Using some classes from the [AIMA book](

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