A logic for reasoning with inconsistent knowledge
Artificial Intelligence
Towards a unification of knowledge modelling approaches
Second generation expert systems
Equilibrium analysis of the distribution of information in human society
Artificial Intelligence - Special issue: AI research in Japan
Cooperative knowledge evolution for complex domains
Machine learning and knowledge acquisition
Agent-Based Knowledge Acquisition
EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition
Introduction of Viewpoints in Conceptual Graph Formalism
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Comparison of Conceptual Graphs for Modelling Knowledge of Multiple Experts
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
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This paper presents one approach to acquire knowledge from multiple experts. The experts are grouped into a multilevel hierarchical structure, according to the type of knowledge acquired. The first level consists of experts who have knowledge about the basic objects and their relationships. The second level of experts includes those who have knowledge about the relationships of the experts at the first level and each higher level accordingly. We show how to derive the most supported opinion among the experts at each level. This is used to order the experts into categories of their competence defined as the support they get from their colleagues.