Clark Glymour Explained

Birth Date:1942
Alma Mater:University of New Mexico
Indiana University Bloomington (Ph.D., 1969)
Workplaces:Carnegie Mellon University

Clark N. Glymour (born 1942) is the Alumni University Professor Emeritus in the Department of Philosophy at Carnegie Mellon University. He is also a senior research scientist at the Florida Institute for Human and Machine Cognition.[1]

Work

Glymour earned undergraduate degrees in chemistry and philosophy at the University of New Mexico. He did graduate work in chemical physics and obtained a Ph.D. in History and Philosophy of Science from Indiana University Bloomington in 1969.[2]

Glymour is the founder of the Philosophy Department at Carnegie Mellon University, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in Behavioral Sciences,[3] a Phi Beta Kappa lecturer,[4] and is a Fellow of the statistics section of the AAAS.[5] Glymour and his collaborators created the causal interpretation of Bayes nets.[6] His areas of interest include epistemology[7] (particularly Android epistemology), machine learning, automated reasoning, psychology of judgment, and mathematical psychology.[8] One of Glymour's main contributions to the philosophy of science is in the area of Bayesian probability, particularly in his analysis of the Bayesian "problem of old evidence".[9] [10] Glymour, in collaboration with Peter Spirtes and Richard Scheines, also developed an automated causal inference algorithm implemented as software named TETRAD.[11] Using multivariate statistical data as input, TETRAD rapidly searches from among all possible causal relationship models and returns the most plausible causal models based on conditional dependence relationships between those variables. The algorithm is based on principles from statistics, graph theory, philosophy of science, and artificial intelligence.[12] An algorithm used in learning the structure of Bayesian networks, the PC algorithm, is named after the inventors' first names, Peter Spirtes and Clark Glymour.

Publications

Books

Journal articles

External links

Notes and References

  1. Web site: Clark Glymour. Carnegie Mellon University. December 16, 2019.
  2. Book: 1987 . Discovering Causal Structure . 10.1016/c2013-0-10734-9. 9780122869617.
  3. Web site: Awards and Elections, Fall 2019. Center for Advanced Study in Behavioral Sciences. December 16, 2019.
  4. Web site: Romanell-Phi Beta Kappa Professorship Past Winners. Phi Beta Kappa. December 16, 2019.
  5. Web site: Clark Glymour. American Academy of Arts and Sciences. December 16, 2019.
  6. P. Spirtes, C. Glymour, R. Scheines, Causation, Prediction and Search, Springer Lecture Notes in Statistics, 1993.
  7. Epistemology: 5 Questions Edited by Vincent F. Hendricks and Duncan Pritchard, September 2008, .
  8. Web site: Clark Glymour. December 16, 2019.
  9. Web site: Bayesian Epistemology. July 12, 2001.
  10. Glymour, C.; Theory and evidence (1981), pages 63-93.
  11. http://www.phil.cmu.edu/projects/tetrad/publications.html Publications
  12. Glymour, Clark; Scheines, Richard; Spirtes, Peter; Kelly, Kevin. "TETRAD: Discovering Causal Structure" Multivariate Behavioral Research 23.2 (1988). 10 July 2010. . .