Tommie Meyer: “Knowledge Representation and Reasoning”
Join guest professor Tommie Meyer as he introduces Knowledge Representation and Reasoning as one of the pillars of AI.
The TU Wien Informatics Doctoral School and the Center for Artificial Intelligence and Machine Learning (CAIML) invite to a talk by guest professor Tommie Meyer.
In this talk I’ll remind the audience that Machine Learning is one of a number of sub-disciplines of Artificial Intelligence (AI), 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 and Reasoning as one of the pillars of AI. I’ll conclude with some suggestions on how Knowledge Representation and Reasoning can benefit from research in Machine Learning, and vice versa.
About Tommie Meyer
Tommie Meyer is a professor in Computer Science at the University of Cape Town in South Africa, and co-director of the South African Centre for Artificial Intelligence Research. Prior to this he held positions at the Council for Scientific and Industrial Research(CSIR) in Pretoria, South Africa; National ICT Australia and the University of New South Wales in Sydney, Australia; the University of Pretoria in South Africa; and the University of South Africa. He is recognised internationally as an expert in Knowledge Representation and Reasoning, with more than 170 publications in peer-reviewed journals, conferences, and workshops. He is a current associate editor of the Journal of Artificial Intelligence Research and a past associate editor of the Artificial Intelligence Journal. He is a Program Co-Chair of the Conference on Principles of Knowledge Representation and Reasoning (KR) for 2022, which will be held in Haifa, Israel, and the Local Chair of the International Joint Conference on Artificial Intelligence (IJCAI) for 2023 which will be held in Cape Town, South Africa.
The lecture series on research talks by the guest professors of the TU Wien Informatics Doctoral School can also be credited as an elective course for students of master programs of computer science: 195.072 Current Trends in Computer Science.