Evidence with uncertain likelihoods

Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, UAI 2005

Volumn , Issue , 2005, Pages 243-250

  Halpern, Joseph Y ^a   Pucella, Riccardo ^a  

^a Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL APPROACH; LIKELIHOOD FUNCTIONS; PROBABILITY MEASURES;

ARTIFICIAL INTELLIGENCE;

EID: 33749025953     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Good, I. J. (1950). Probability and the Weighing of Evidence. Charles Griffin & Co. Ltd.
2. Halpern, J. Y. (2003). Reasoning About Uncertainty. MIT Press.
3. Halpern, J. Y. and R. Fagin (1992). Two views of belief: belief as generalized probability and belief as evidence. Artificial Intelligence 54, 275-317.
4. Halpern, J. Y. and R. Pucella (2003a). A logic for reasoning about evidence. In Proc. 19th Conference on Uncertainty in Artificial Intelligence (UAI'03), pp. 297-304.
5. Halpern, J. Y. and R. Pucella (2003b). Probabilistic algorithmic knowledge. In Proc. 9th Conference on Theoretical Aspects of Rationality and Knowledge (TARK'03), pp. 118-130.
6. Kyburg, Jr., H. E. (1983). Recent work in inductive logic. In T. Machan and K. Lucey (Eds.), Recent Work in Philosophy, pp. 87-150. Rowman & Allanheld.
7. Shafer, G. (1976). A Mathematical Theory of Evidence. Princeton University Press.
8. Shafer, G. (1982). Belief functions and parametric models (with commentary). Journal of the Royal Statistical Society, Series B 44, 322-352.