School Seminar: Hybrid Systems for Practical Artificial Intelligence


Abstract

A wide range of techniques has emerged from the field of artificial intelligence including rules, frames, model-based reasoning, case-based reasoning, Bayesian updating, fuzzy logic, multiagent systems, swarm intelligence, genetic algorithms, deep learning, and neural networks. They are all ingenious and useful in narrow contexts. It will be argued in this presentation that a truly intelligent system needs to draw on a variety of these approaches within a hybrid system. Five distinct ways to enhance or complement one technique with another will be identified. Several practical examples of hybrids will be presented, ranging from medical diagnosis to the control of specialised manufacturing processes.

Biography

Adrian Hopgood is Professor of Intelligent Systems and Director of Future & Emerging Technologies at the University of Portsmouth. He is also a visiting professor in the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. He is a Chartered Engineer, Chartered Scientist, Fellow of the BCS, and a committee member for the BCS Specialist Group on Artificial Intelligence.

After a BSc in physics and PhD in materials science, Adrian spent two years with the software company Systems Designers plc (now part of Hewlett-Packard), where he was introduced to the world of artificial intelligence. He then joined the Open University, where he chaired the module T396: Artificial Intelligence for Technology. He worked at the OU for 14 years, except for a two-year spell at the Telstra Research Laboratories in Melbourne, Australia. He has subsequently held senior management positions at various universities, most recently as Director General and Dean of HEC Liège, the Management School of the University of Liège in Belgium. He joined the University of Portsmouth in October 2017.

Adrian’s main research interests are in artificial intelligence and its practical applications. He has supervised 18 PhD projects to completion and published more than 100 research articles. His text book "Intelligent Systems for Engineers and Scientists" is ranked as a bestseller. The third edition was published by Taylor & Francis in 2012.



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