A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System

Authors:
Xudong Luo;Chengqi Zhang;Ho-fung Leung
Affiliations:
-;-;-
Venue:
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Year:
1999

Citing 8
Cited 0

Combining functions for certainty degrees in consulting systems

International Journal of Man-Machine Studies - Ellis Horwood series in artificial intelligence
HECODES: a framework for HEterogeneous COoperative Distributed Expert Systems

Data & Knowledge Engineering
Towards a cooperation knowledge level for collaborative problem solving

ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Cooperation under uncertainty in distributed expert systems

Artificial Intelligence
Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models

IEEE Transactions on Knowledge and Data Engineering
Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions

IEEE Transactions on Knowledge and Data Engineering
Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems

IEEE Transactions on Knowledge and Data Engineering
A domain-independent system that aids in constructing knowledge-based consultation programs

A domain-independent system that aids in constructing knowledge-based consultation programs

Quantified Score

Hi-index	0.00

Visualization

Abstract

The motivation for investigating the transformation between the EMYCIN model and the PROSPECTOR model lies in a realistic consideration. In the past, expert systems exploited mainly the EMYCIN model and the PROSPECTOR model to deal with uncertainties. In other words, a lot of stand-alone expert systems which use these two models are available. If there are reasonable transformations of uncertainties between the EMYCIN model and the PROSPECTOR model, we can use the Internet to couple them together so that the integrated systems are able to exchange and share helpful information with each other, thereby improving their performance through cooperation. In this paper, we discovered a class of exactly isomorphic transformations between uncertain reasoning models used by EMYCIN and PROSPECTOR. More interestingly, among the class of isomorphic transformation functions, different ones can handle different degrees to which domain experts are optimistic or pessimistic if they perform such a transformation task.