Computation, causation and discovery
Clark Glymour, Gregory F. Cooper
Résumé
Typical problems of causal discovery are: How will a
change in commission rates affect the total sales of a
company? How will a reduction in cigarette smoking among
older smokers affect their life expectancy? How will a
change in the formula a college uses to award scholarships
affect its dropout rate? These sorts of changes are
interventions that directly alter some features of the
system and perhaps--and this is the question--indirectly
alter others.
The contributors discuss recent research and applications using Bayes nets or directed graphic representations, including representations of feedback or "recursive" systems. The book contains a thorough discussion of foundational issues, algorithms, proof techniques, and applications to economics, physics, biology, educational research, and other areas.
L'auteur - Clark Glymour
is Alumni University Professor at Carnegie Mellon University and Valtz Family Professor of Philosophy at the University of California, San Diego.
L'auteur - Gregory F. Cooper
is Associate Professor of Medicine and of Intelligent Systems at the University of Pittsburgh, where he is also Senior Associate in the Center for Biomedical Informatics.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | The MIT Press |
| Auteur(s) | Clark Glymour, Gregory F. Cooper |
| Parution | 07/07/1999 |
| Nb. de pages | 566 |
| Format | 15 x 23 |
| EAN13 | 9780262571241 |
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