Toolboxes & Code Repositories

Babel

The all-in-one toolkit for multi-agent experiments on emergent communication

Description:

Babel is a flexible toolkit for implementing and running agent-based experiments on emergent communication. The Babel system includes advanced modules for constructional language processing and learning (Fluid Construction Grammar), conceptualising and interpreting procedural semantic structures (Incremental Recruitment Language) and conducting multi-agent experiments in simulated environments or using physical robots. An extensive monitoring system opens up every detail of Babel’s intermediate representations and underlying dynamics. A modular design ensures that the system can be used in a wide variety of scenarios. It is therefore possible to use each component individually, according to your needs. Babel is written in Common Lisp and runs in most major Lisp implementations (CCL, SBCL and LispWorks) on all major platforms (Linux, Mac OS, Windows). It is jointly developed by Sony Computer Science Laboratories Paris, Vrije Universiteit Brussel, KU Leuven and UNamur under an Apache 2.0 license.

More Information:

  • Related research challenge: AI-Driven Data Science

  • Responsible Research Lead: Paul Van Eecke

  • Authors: Katrien Beuls, Joris Bleys, Jérôme Botoko Ekila, Pascal Constanza, Miquel Cornudella, Joachim De Beule, Liesbet De Vos, Jonas Doumen
    - Emilia Garcia Casademont
    - Katja Gerasymova
    - Sebastian Hoefer
    - Sebastien Hoorens
    - Alexane Jouglar
    - Yana Knight
    - Martin Loeztsch
    - Tânia Marques
    - Vanessa Micelli
    - Nicolas Neubauer
    - Jens Nevens
    - Simon Pauw
    - Roxana Radulescu
    - Veronica Schmalz
    - Michael Spranger
    - Kevin Stadler
    - Luc Steels
    - Wouter Van den Broeck
    - Paul Van Eecke
    - Sébastien Van Someren
    - Remi van Trijp
    - Lara Verheyen
    - Pieter Wellens

  • Programming Language: Python

  • Link to the website

  • Link to a video tutorial

  • Categories: Embedded systems, Optimization

Publications:

  • Nevens, J., Van Eecke, P. & Beuls, K. (2019). A Practical Guide to Studying Emergent Communication through Grounded Language Games. In AISB Language Learning for Artificial Agents Symposium. Pages 1-8. https://arxiv.org/pdf/2004.09218