SUM 2016 will feature the following tutorials, that will provide a 45-minute survey of one of the research areas in the scope of the conference.
Leila Amgoud. Evaluation of arguments: trends and challenges.
Gert de Cooman. Imprecise probability models: is ‘honest’ inference with
reasonable efficiency possible?
Éric Duchêne. Combinatorial games: from theoretical solving to AI algorithms.
Jérôme Euzenat. Fixing knowledge in the distributed age.
Lluis Godo. A glimpse on weighted logics to reasoning about uncertainty,
preferences, similarity and graded truth.
Benny Kimelfeld. Preference-based data repairing.
Angelika Kimmig. Probabilistic (logic) programming concepts.
Ann Nowé. Reinforcement learning.
Karim Tabia. Possibilistic graphical models: From concepts to applications.
Paolo Viappiani. Incremental preference elicitation: from multi-attribute decision problems to ranking and social choice.
Leila Amgoud. Evaluation of arguments: trends and challenges.
Gert de Cooman. Imprecise probability models: is ‘honest’ inference with
reasonable efficiency possible?
Éric Duchêne. Combinatorial games: from theoretical solving to AI algorithms.
Jérôme Euzenat. Fixing knowledge in the distributed age.
Lluis Godo. A glimpse on weighted logics to reasoning about uncertainty,
preferences, similarity and graded truth.
Benny Kimelfeld. Preference-based data repairing.
Angelika Kimmig. Probabilistic (logic) programming concepts.
Ann Nowé. Reinforcement learning.
Karim Tabia. Possibilistic graphical models: From concepts to applications.
Paolo Viappiani. Incremental preference elicitation: from multi-attribute decision problems to ranking and social choice.