Babel toolkit
The all-in-one toolkit for multi-agent experiments on emergent communication
The all-in-one toolkit for multi-agent experiments on emergent communication: Babel is a flexible toolkit for implementing and running agent-based experiments on emergent communication.
Language of the library: Common Lisp
Additional information: 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).
The core packages of Babel are jointly developed by Sony Computer Science Laboratories Paris and Vrije Universiteit Brussel under an Apache 2.0 license.
External links:
- Babel team: https://emergent-languages.org/
- Github: https://gitlab.ai.vub.ac.be/ehai/babel-core