IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Modelling uncertainty in expert systems
International Journal of Man-Machine Studies
Objection-based causal networks
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Proceedings of the IFIP TC12/WG12.3 International Workshop on Automated Reasoning
A domain-independent system that aids in constructing knowledge-based consultation programs
A domain-independent system that aids in constructing knowledge-based consultation programs
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
AT-PAM: an authentication trustworthiness-based PAM
InfoSecu '04 Proceedings of the 3rd international conference on Information security
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In this paper, we prove that under the assumption of conditional independence, the EMYCIN formula for sequential propagation can be derived strictly from the definition of the certainty factor according to probability theory. We already have known that Adams [1] and Schocken [15] have proved that the EMYCIN formula for parallel propagation is partially consistent with probability theory. Our result supplements their contribution and, together with theirs, explains why the EMYCIN model has been working reasonably well.