Patrick Suppes, Probabilistic Metaphysics

Patrick Suppes Richard

This paper discusses the potential role of computer-assisted instruction (CAI) in providing compensatory education for disadvantaged children.

Probabilistic causality: frome Hume via Suppes to Granger

Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks

One of the critical issues when adopting Bayesian networks (BNs) to model dependencies among random variables is to “learn” their structure, given the huge search space of possible solutions, i.e., all the possible direct acyclic graphs. This is a wellknown NP -hard problem, which is also complicated by known pitfalls such as the issue of I-equivalence among different structures. In this work w...

Patrick Cavanagh

Patrick Cavanagh graduated in Communications Engineering from McGill University in 1968. An interest in artificial intelligence led to a Ph.D. in cognitive psychology from Carnegie-Mellon in 1972. He taught at the Université de Montréal in Psychology until 1989, when he moved to Harvard as a Professor of Psychology. Along with Ken Nakayama, he founded the Vision Sciences Laboratory at Harvard i...

Patrick Lemaire

Patrick Lemaire grew up in Orsay, close to Paris. He graduated from the Ecole Polytechnique and did his PhD at the EMBL (Heidelberg) and ENS (Paris) with Patrick Charnay (1985–1990); he then joined, as a post-doc, the laboratory of John Gurdon in Cambridge (1991–1994), where he identified a crucial Xenopus organizer gene, Siamois. He has been heading a CNRS research group in Marseille since 199...