An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching

This paper describes experimental use of the multi-agent architecture to integrate Natural Language and Information Systems research and teaching, by casting a group of students as intelligent agents to collect and analyse English language resources from around the world. Section 2 and section 3 describe the hybrid intelligent information systems experiments at the University of Leeds and the results generated, including several research papers accepted at international conferences, and a finalist entry in the British Computer Society Machine Intelligence contest. Our proposals for applying the multi-agent idea in other universities such as the Arab Open University are presented in section 4. The conclusion is presented in section 5: the success of hybrid intelligent information systems experiments in generating research papers within a limited time.

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Bayan Abu Shawar, Eric Atwell
• Keywords: Education, Hybrid Intelligent Information, Intelligent Information Systems, LREC 2008, Research Papers