A guide to expert systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fuzzy expert systems
Applications of virtual intelligence to petroleum engineering
Computers & Geosciences - Special issue on applications of virtual intelligence to petroleum engineering
A Neural Network Expert System with Confidence Measurements
IPMU '90 Proceedings of the 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Uncertainty in Knowledge Bases
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
Combinatorial Algorithms: Theory and Practice
Combinatorial Algorithms: Theory and Practice
Fuzzy Expert System for Solving Lost Circulation Problem
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Generation of natural language explanations of rules in an expert system
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Studying evolution of a branch of knowledge by constructing and analyzing its ontology
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Specifying Interaction Space Components in a FIPA-ACL Interaction Framework
Languages, Methodologies and Development Tools for Multi-Agent Systems
An agent framework for processing FIPA-ACL messages based on interaction models
AOSE'07 Proceedings of the 8th international conference on Agent-oriented software engineering VIII
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Expert knowledge in most of application domains is uncertain, incomplete and perception-based. For processing such expert knowledge an expert system should be able to represent and manipulate perception-based evaluations of uncertainties of facts and rules, to support multiple-valuedness of variables, and to make conclusions with unknown values of variables. This paper describes an uncertainty model based on two algebras of conjunctive and disjunctive multi-sets used by the inference engine for processing perception-based evaluations of uncertainties. The discussion is illustrated by examples of the expert system, called SMART-Agua, which is aimed to diagnose and give solution to water production problems in petroleum wells.