Human Causal Discovery

***Removed from the Issue*** Application of Cell-Based Assay Systems for the Early Screening of Human Drug Hepatotoxicity in the Discovery Phase of Drug Development

***Removed from the Issue*** Application of Cell-Based Assay Systems for the Early Screening of Human Drug Hepatotoxicity in the Discovery Phase of Drug Development

Causation and Intervention

Accounts of causal discovery have traditionally split into approaches based on passive observational data and approaches based on experimental interventions that take control of (the distribution of) one or more variables. The former includes a vast number of techniques for the inference to causal structure on the basis of statistical features of data, while the latter provides in addition a me...

The center for causal discovery of biomedical knowledge from big data

The Big Data to Knowledge (BD2K) Center for Causal Discovery is developing and disseminating an integrated set of open source tools that support causal modeling and discovery of biomedical knowledge from large and complex biomedical datasets. The Center integrates teams of biomedical and data scientists focused on the refinement of existing and the development of new constraint-based and Bayesi...

Causal Induction 1 Running head : Continuous Causal Inference Causal Induction from Continuous Event Streams

Three experiments investigated the impact of delay on human causal learning. We present a new paradigm based on the presentation of continuous event streams, and use it to test two hypotheses drawn from associative learning theories of causal inference. Unlike free-operant procedures traditionally used to study temporal aspects of causal learning (Shanks, Pearson, & Dickinson, 1989; Shanks & Di...