Hybrid Systems for Practical Artificial Intelligence
by Adrian Hopgood (HEC Liège)
Research Seminar 2016-2017
April 2017, Friday 28 (12:30 pm)
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, 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. The blackboard model, in particular, will be highlighted as a viable mechanism to achieve these benefits. Several practical examples of hybrids will be presented, ranging from medical diagnosis to the control of specialised manufacturing processes.