Agent-Systems and Formal Languages

The aim of this paper is to show how formal languages and multi-agent systems can collaborate in order to obtain new models for dealing with complex issues in artificial intelligence. To do so, we introduce a framework for agent systems based on a formal language model -grammar systems theory- that is inspired by one of the most common forms of interaction: conversation. Our multi-agent system model belongs to the interaction-level category of agent technologies. It offers an environment-based model for multi-agent systems, since it formally defines a multi-agent system that explicitly specifies how an agent interacts with its environment.