Recent spectacular advances in Artificial Intelligence (AI) focus strongly on the sub-area of AI known as machine learning. This lecture will remind participants that there are several other sub-disciplines of AI, and that it is important for the field to maintain and grow expertise in all aspects of AI. The lecturer will then proceed to practise what he preaches by introducing Symbolic AI as one of the pillars of AI. The lecture will conclude with some suggestions on how Symbolic AI can benefit from research in machine learning, and vice versa.

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