Download:
|
by Xudong Luo, Chengqi Zhang
Australia Journal of Intelligent Information Processing Systems 4(1
http://www3.cm.deakin.edu.au/~chengqi/paper.dir/97-17.ps
Add To MetaCart
Abstract:
The "take-them-in-or-leave-them-out " of prior probabilities is a key problem in uncertain reasoning. The EMYCIN uncertain reasoning model is inconsistent with probability theory, due to `leaving them out', whereas the PROSPECTOR uncertain reasoning model is substantially consistent with probability theory, due to `taking them in'. However, in the PROSPECTOR model, there are the following problems: 1) prior probabilities need to be supplied with values by human experts, which is a very arduous task; 2) to overcome the problem of the inconsistency among the values of prior probabilities, the formula for sequential propagation used in this model is a pseudo-probability formula, which weakens the theoretical basis of the model; and 3) the semantics of rule strength is difficult to understand. This paper presents a PROSPECTOR-like uncertain reasoning model for solving the above three problems. Moreover, we illustrate our discussion with an example. 1
Citations
|
4388
|
Probabilistic Reasoning in Intelligent Systems
– Pearl
- 1988
|
|
411
|
The computational complexity of probabilistic inference using Bayesian belief networks
– Cooper
- 1990
|
|
172
|
Bayesian networks without tears
– Charniak
- 1991
|
|
90
|
Subjective bayesian methods for rulebased inference systems
– Duda, Hart, et al.
- 1976
|
|
71
|
A model of inexact reasoning in medicine
– Shortliffe, Buchanan
- 1975
|
|
63
|
Probabilistic interpretations for MYCIN's certainty factors
– Heckerman
- 1986
|
|
34
|
Symbolic causal networks
– Darwiche, Pearl
- 1994
|
|
8
|
A discussion of uncertainty handling in support logic programming
– Dubois, Prade
- 1990
|
|
8
|
A domain-independent system that aids in constructing knowledge-based consultation programs
– Melle
- 1980
|
|
4
|
Extension of Conditional Probability and Measures of Belief and Disbelief in a Hypothesis Based on Uncertain Evidence
– Ihara
- 1987
|
|
4
|
A solution to the problem of prior probabilities in the PROSPECTOR uncertain reasoning model
– Luo, Zhang
- 1997
|
|
3
|
Handling Uncertainty in Expert Systems: Pitfalls, Diculties, Remedies ", The reliability of Expert Systems
– Dubois, Prade
- 1989
|
|
3
|
A Study of Probability-Based Uncertain Reasoning Model in Rule-Based Expert Systems: Prospector-Type Scheme
– Luo
- 1992
|
|
3
|
The probability certainty factor model: an example-based approach
– Luo, Zhang
- 1997
|
|
3
|
The favoring-opposing cause model for uncertain reasoning
– Luo, Zhang
- 1997
|
|
3
|
A Unified Algebraic Structure for Uncertain Reasonings
– Luo, Zhang
- 1996
|
|
2
|
Fuzzy and Probability Logics
– Gaines
- 1978
|
|
2
|
Measures of Uncertainty
– Blockley, Pilsworth, et al.
- 1988
|
|
1
|
Modeling Uncertainty in Expert Systems ", Int
– Buxton
- 1989
|