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 X, Windows).
A Practical Guide to Studying Emergent Communication through Grounded Language Games Jens Nevens, Paul Van Eecke and Katrien Beuls AISB19, Falmouth, United Kingdom, 2019.
The Babel2 Manual Martin Loeztsch, Pieter Wellens, Joachim De Beule, Joris Bleys and Remi van Trijp AI-Memo 01-08, AI-Lab VUB, Brussels, Belgium, 2008