Boolean Difference-Making: A Modern Regularity Theory of Causation

Causal foundationalism, physical causation, and difference-making

Complex Causal Structures Extensions of a Regularity Theory of Causation

Causality Regularity Models of Causation

Causality refers to the relationship between events where one set of events (the effects) is a direct consequence of another set of events (the causes). Causal inference is the process by which one can use data to make claims about causal relationships. Since inferring causal relationships is one of the central tasks of science, it is a topic that has been heavily debated in philosophy, statist...

A Regularity Theoretic Approach to Actual Causation

The majority of the currently flourishing theories of actual (token-level) causation are located in a broadly counterfactual framework that draws on structural equations. In order to account for cases of symmetric overdeterminiation and preemption, these theories resort to rather intricate analytical tools, most of all, to what Hitchcock (2001) has labeled explicitly nonforetracking counterfact...

A Theory of Inferred Causation

This paper concerns the empirical basis of causation, and addresses the following issues: 1. the clues that might prompt people to perceive causal relationships in uncontrolled observations. 2. the task of inferring causal models from these clues, and 3. whether the models inferred tell us anything useful about the causal mechanisms that underly the observations. We propose a minimal-model sema...