Havel And Artificial Intelligence

As of today, Project Samarai does not have the goal to create artificial intelligence. Having said that, we do suspect that graph languages in general and Havel in particular could become key-technologies in future artificial intelligence systems. There are many topics where the two technologies overlap and they will certainly complement each other.

Graph languages can benefit from artificial neuronal networks and vice versa. We suspect that a Havel-interpreter driven by neuronal networks could be more effective than a conventional one. We also suspect that interpreting Havel with neuronal networks could lead to surprising insight. Havel expressions on the other hand could be an ideal data source to train and feed artificial intelligence algorithms. Combining both approaches might lead to new technology altogether.

There is certainly a lot of potential in combining graph languages with artificial intelligence technology. Further research in this direction is certainly necessary and we are reaching out to interested institutions.

This post is part of a comprehensive introduction into SRDM, graph languages and Havel.

---

Continue reading: Applications