Hybrid Systems: the Future of Artificial Intelligence?

Professor Adrian Hopgood email web

Faculty of Technology, De Montfort University


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, practical, 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. The blackboard model has re-emerged from its 1970s origins as a viable technique for achieving this. Several practical examples will be presented, ranging from the control of specialised manufacturing processes to the diagnosis of mouth cancer.


Slides of the lecture can be downloaded here:

(If Flash is installed, you can watch a video inside this web page.)

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