Mark Winands appointed as professor of Machine Reasoning
Mark Winands has been appointed as professor of Machine Reasoning at the Department of Data Science and Knowledge Engineering (DKE). Winands’ appointment is retrospectively effective as of October 1, 2019, and aims to further research and education in Artificial Intelligence at UM’s Faculty of Science and Engineering.
Dr. Mark Winands is internationally renowned for his contributions to the field of Artificial Intelligence (AI). He is well-known in the area of automated decision-making and for his contributions to the development of Monte Carlo tree search, a technique that enabled AI to surpass the best human players in games such as Go.
| Machine Reasoning is an important part of the field of Artificial Intelligence (AI). Machine Reasoning deals with the ability of intelligent machines to apply knowledge to new situations. This requires them to demonstrate adaptability when taking decisions, and take into account factors like human actors. Machine Reasoning is widely regarded as crucial for the advance of AI, especially in a way that allows humans to understand why machines make the decisions they do. |
Alongside his research, Winands is frequently active in program committees of large international research conferences. He is editor-in-chief of the International Computer Games Association (ICGA) Journal and associate editor of IEEE Transactions on Games. Since 2017, Winands has overseen DKE’s bachelor and master’s programmes in AI and Data Science as Director of Studies.
In his new role, Winands will continue to contribute to research and education at the Department of Data Science and Knowledge Engineering. He will also help to reinforce UM’s position in the (inter)national AI landscape by continuing to represent UM in various dedicated networks.
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DKE research theme: Game AI and Search
Mark Winands' personal website
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