Speaking autonomous intelligent devices

The development of speech tools suitable for use in real world environments requires collaboration between computational linguistics and new implementation fields e.g. robotics, and the incorporation of new AI techniques to improve overall system performance. In this paper we present the core development concepts of SAID (Speaking Autonomous Intelligent Devices). The work presented centres around four key strands of research, namely the recasting of the Time Map model as a Multi- Agent System (MAS), the development of a MAS based audio feature extraction system, the deployment of a BDI based dialog agent and the design of a MAS based social robot architecture.