Logical Dynamics Lab
LDL research in logic covers a range from theory to applications, with an outreach interest to philosophy, computation and cognition. Current topics include information-driven agency, causal inference, reasoning in natural language, and interfaces of logic and probability.
Active participants in the LDL since its founding:
A selection from ongoing projects, with some characteristic publications.
New logical models of information and dependence.
(Current extensions: dynamical systems, topological settings.)
Qualitative and quantitative reasoning: interfacing logic and arithmetic. (PDF)
Topological perspectives on causal inference. (PDF)
Calibrating generative models: the probabilistic Chomsky-Schützenberger hierarchy. (PDF)
Group in Logic and Methodology, UC Berkeley
Institute for Logic, Language and Information (ILLC), Amsterdam
Joint Research Center for Logic, Tsinghua University, Beijing
Causal AI Lab, Columbia University
The annual Logic Seminars at Stanford offer an entry point for
students interested in the research themes of the LDL