Research output per year
Research output per year
Prof
Prof. Austin Tate is Emeritus Professor of Knowledge-Based Systems at the University of Edinburgh and was the Director of the Artificial Intelligence Applications Institute at the University from 1985 to 2019. Over that period he led its efforts to transfer the technologies and methods of artificial intelligence and knowledge-based systems into commercial, governmental and academic applications throughout the world. In 2019, AIAI has been combined with the previous Centre for Intelligent Systems and their Applications (CISA) to form the Artificial Intelligence and its Applications Institute with a wider focus on AI research as well as applications.
Prof. Tate's research interests are in the use of rich process and plan representations along with tools that can utilize these representations to support planning and activity management. He pioneered the early, now widely used and deployed, approaches to hierarchical planning and constraint satisfaction in the Interplan, Nonlin, O-Plan and I-Plan planning systems. His work on "I-X" was concerned with supporting collaboration between human and system agents to perform cooperative tasks in a "Helpful Environment". Prof. Tate was the Edinburgh PI in the Advanced Knowledge Technologies Interdisciplinary Research Collaboration funded bythe UK EPSRC. He also led the US DARPA funded Coalition Agent eXperiment (CoAX) project involving some 30 organizations in 4 countries over a 3 year period. His work has been applied to search and rescue and emergency response tasks, space technology applications and other sectors. Hie continues to maintain a research interest in advanced knowledge and planning technologies, and collaborative systems especially using virtual worlds. He also coordinates the Virtual University of Edinburgh, Vue, a virtual educational and research institute bringing together those interested in the use of virtual worlds for teaching, research and outreach.
Master of Science, e-Learning, University of Edinburgh
Award Date: 1 Jan 2012
Doctor of Philosophy (PhD), Machine Intelligence, Using Goal Structure to Direct Search in a Problem Solver, University of Edinburgh
Award Date: 1 Jan 1975
Bachelor of Arts, Computer Studies, Lancaster University
Award Date: 1 Jan 1972
Research output: Contribution to journal › Article
Research output: Contribution to conference › Paper › peer-review
Research output: Book/Report › Book
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Contribution to journal › Article › peer-review
Tate, A. & Wickler, G.
1/03/12 → 31/05/15
Project: Research
Usmani, A., Berry, D., Bull, M. & Tate, A.
UK industry, commerce and public corporations
14/04/06 → 13/04/09
Project: Research
UK central government bodies/local authorities, health and hospital authorities
1/06/04 → 30/11/05
Project: Research
20/08/18
1 item of Media coverage
Press/Media: Expert Comment