A parallel language for cognitive informatics

In this paper we introduce a programming environment to help implementing cognitive models. The language we use is specially appropriate because its high-level constructions allow the easy development of general schemes that can be easily used (and even modified) without requiring knowledge about the underlying language. In fact, it is even possible to automate the translation from an specification using a process algebra to an implementation in our language. Moreover, our framework includes visualizing facilities to help analyzing the behavior of the simulated models.