rationality

The role of learning data in causal reasoning about observations and interventions

Recent studies have shown that people have the capacity to derive interventional predictions for previously unseen actions from observational knowledge, a finding that challenges associative theories of causal learning and reasoning (e.g., Meder, …

Inferring interventional predictions from observational learning data

Previous research has shown that people are capable of deriving correct predictions for previously unseen actions from passive observations of causal systems (Waldmann \& Hagmayer, 2005). However, these studies were limited, since learning data were …

Seeing versus doing: Causal Bayes nets as psychological models of causal reasoning

This dissertation is concerned with the question of how people infer the consequences of active interventions in causal systems when only knowledge from passive observations is available. Causal Bayes nets theory (Spirtes, Glymour & Scheines, 1993; …