Randomization tests
Mathematical statistics (4th ed.)
Mathematical statistics (4th ed.)
Multiple criteria decision making in accounting expert systems
6th International Workshop Vol. 3 on Expert systems & their applications
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Introduction to Testing Hypotheses Using Computer Intensive Methods
Introduction to Testing Hypotheses Using Computer Intensive Methods
A formal method for analyzing and integrating the rule-sets of multiple experts
Information Systems
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Cooperation in industrial multi-agent systems
Cooperation in industrial multi-agent systems
Computational & Mathematical Organization Theory
Impediments in the use of explicit ontologies for KBS development
International Journal of Human-Computer Studies
Validation, Verification, and Testing of Computer Software
ACM Computing Surveys (CSUR)
Verification of Multiple Agent Knowledge-Based Systems
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Probabilistic multi-knowledge-base systems: automated group decision-making in expert systems
Probabilistic multi-knowledge-base systems: automated group decision-making in expert systems
Computational & Mathematical Organization Theory
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Theories of organizations have brought together multipleheterogeneous theories in computational models. In addition, inartificial intelligence, there has been an emphasis on the generationof knowledge-based systems that include multiple heterogeneousknowledge bases. As a result, increasingly, theory and modeldevelopers have called for the need to validate these computationalmodels. Unfortunately, there has been only limited attention givento validation of multiple knowledge source programs.The primary focus of this paper is on the identification of conflict between multiple knowledge bases. The existence of conflict is particularly critical in those situations where database evaluations are “averaged”. For example, what would it mean to average the assessments of supply and demand economists, or surgeons and chemotherapists?Correlational statistics are used to identify conflict situations. In addition, a new approach, referred to as cutpoints, is developed to determine if probability distributions of multiple agents are in conflict. A case study is used to illustrate the problems of combining expertise in multiple agent systems and to demonstrate the approach.