Title: Knowledge Representation (in the age of Machine Learning)
Abstract: In this talk I'll remind the audience that Machine Learning is one of a number of sub-disciplines of Artificial Intelligence, and that it is important for the field as a whole to maintain and grow expertise in all aspects of AI. I will then proceed to practice what I preach by introducing Knowledge Representation as one of the pillars of AI. I'll conclude with some suggestions on how Knowledge Representation can benefit from research in Machine Learning, and vice versa.
Bio: Tommie Meyer is a professor in Computer Science at UCT and co-director of the national Centre for Artificial Intelligence Research (CAIR). Prior to this he held positions at the CSIR in Pretoria, National ICT Australia, the University of New South Wales in Australia, the University of Pretoria, and the University of South Africa. He is recognised internationally as an expert in Knowledge Representation, with more than 160 publications in peer-reviewed journals, conferences, and workshops. He is an associate editor of two of the top journals in Artificial Intelligence, the Journal of Artificial Intelligence Research and the Artificial Intelligence Journal.
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