27 - 28 March 2017, Asymmetry in Causal Inference and Conditional Reasoning
This workshop explores the relation between causal inference and conditional/counterfactual inference. We will focus in particular on the asymmetric nature of both types of inference. We bring together expertise from philosophy, psychology and artificial intelligence to address the following questions:
- How to account for the relative ease of causal inference (reasoning from cause to effect) compared to diagnostic inference (reasoning from effect to cause)?
- Do we have to distinguish different reasoning strategies to interpret conditional sentences and how does this relate to the distinction between causal inference and diagnostic inference?
- Are Causal Models appropriate to account for 1. and for the analysis of conditionals?