Joseph Y. Halpern
- Published in print:
- 2016
- Published Online:
- May 2017
- ISBN:
- 9780262035026
- eISBN:
- 9780262336611
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262035026.003.0004
- Subject:
- Computer Science, Artificial Intelligence
According to the definition of causality considered in the previous two chapters, whether A is a cause of B depends on the model used. A can be the cause of B in one model and not another. This ...
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According to the definition of causality considered in the previous two chapters, whether A is a cause of B depends on the model used. A can be the cause of B in one model and not another. This chapter considers how a “good” model should be constructed. Factors considered include the choice of variables and their values, and the normality ordering chosen. Of particular interest is the extent to which the question of whether A is a cause of B remains stable as more variables are added to the model in a conservative way, that is, without changing the relationships between variables already in the model.Less
According to the definition of causality considered in the previous two chapters, whether A is a cause of B depends on the model used. A can be the cause of B in one model and not another. This chapter considers how a “good” model should be constructed. Factors considered include the choice of variables and their values, and the normality ordering chosen. Of particular interest is the extent to which the question of whether A is a cause of B remains stable as more variables are added to the model in a conservative way, that is, without changing the relationships between variables already in the model.
