The automation of discovery

Daedalus

Volumn 133, Issue 1, 2004, Pages 69-77

  Glymour, Clark ^a,b,c  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b INSTITUTE FOR HUMAN AND MACHINE COGNITION   (United States)

^c UNIVERSITY OF WEST FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 15744397886     PISSN: 00115266     EISSN: 15486192     Source Type: Journal    
DOI: 10.1162/001152604772746710     Document Type: Article

References (17)

1. References can be found at .
2. Thomas S. Kuhn, The Structure of Scientific Revolutions (Chicago: University of Chicago Press, 1996).
3. Herbert Needleman et al., "Deficits in Psychologic and Classroom Performance of Children with Elevated Dontine Lead Levels," New England Journal of Medicine 300 (1979): 389;
4. Needleman et al., "Lead and IQ Scores: A Reanalysis," Science 227 (1985): 701-704;
5. Stephen Klepper et al., "Regressor Diagnostics for the Errors-in-Variables Model - An Application to the Health Effects of Pollution, "Journal of Environmental Economics and Management 24 (1993): 190-211.
6. See William Farmer, The Synoptic Problem (Macon, Ga.: Mercer University Press, 1981)
7. And, for a more recent discussion, Donald Akenson, Surpassing Wonder: The Invention of the Bible and the Talmuds (Montreal: McGill-Queen's University Press, 1998).
8. The statistical work is reported and illustrated in Harry Kiiveri and Terry Speed, "Structural Analysis of Multi-variate Data: A Review," in Samuel Leinhardt, ed., Sociological Methodology (San Francisco: Jossey-Bass, 1982)
9. And in Judea Pearl, Probabilistic Reasoning in Intelligent Systems (San Mateo, Calif.: Morgan Kaufmann Publishers, 1988).
10. I oversimplify. For the general theory, caveats, and mathematical details, see Peter Spirtes et al., Causation, Prediction and Search (New York: Springer-Verlag, 1993; 2d ed., Cambridge, Mass.: MIT Press, 2000).
11. Peter Spirtes et al., Causation, Prediction and Search, 2000. Ibid.;
12. Clark Glymour and Gregory F. Cooper, eds., Computation, Causation and Discovery (Menlo Park, Calif.: AAAI Press; Cambridge, Mass.: MIT Press, 1999);
13. Judea Pearl, Causality (New York: Cambridge University Press, 2001).
14. Richard Scheines, "Estimating Latent Causal Influences," in Glymour and Cooper, eds., Computation, Causation and Discovery. Scheines's software - freeware - was the TETRAD III program, .
15. Tiajaio Chu et al., "A Note on a Statistical Problem for Inferring Gene Regulation from Micro-array Data," Bioinformatics (in press);
16. David Danks et al., "Experimental Determination of Gene Regulation Networks: Complexity and Statistical Realism"
17. And Frank Wimberly et al., "Experiments on the Accuracy of Machine Learning Algorithms for Discovering Gene Regulation," in the Proceedings of the Workshop on Bayes Nets and Gene Regulation, International Joint Conference on Artificial Intelligence, 2003.