Conditionals and Causality


Beijing Time: 19:20 ~ 21:45


on Tsinghua campus: 新水327

Zoom: 926 0051 8807

Course Description:

Class 1: The similarity account of Counterfactuals
Class 2:  Probability and indicative conditionals
Class 3: Causal models and Intervention
Class 4:  Counterfactuals and Causal Models
Class 5:  Indicative Conditionals and Causal Models




Home Assignments

Final Exam


Katrin Schulz is assistant professor (UD 1) in logic at the department of philosophy, University of Amsterdam. Her research is situated at the Institute of Logic, Language and Computation (ILLC). At the moment her research focuses mainly on the question how we – as humans – make predictions. The ability to make predictions is key to our survival. But at the same time it is also very problematic, because – as we all agree – we cannot know the future. So, how do we make predictions? And why is it that we are doing it so successfully? She studies these questions from various angles: linguistics, philosophy, cognitive science and artificial intelligence. At the moment She focuses on two particular cognitive tools that allow us to make predictions.

  • generic sentences, stereotypes and biases, and
  • the relationship between causation and hypothetical thinking.

Robert van Rooij is professor ‘Logic and Cognition’ at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. Robert van Rooij is mostly known for his work on the formal semantics and pragmatics of natural language, and for his work on philosophical logic. He pioneered in the use of game and decision theory for the analysis of natural language interpretation. In recent years, he mostly worked on vagueness, and the use of probabilistic and causal models for the analysis of conditional and generic sentences.