Some Aspects on Knowledge Representation for Geological Exploration

Abstract

Knowledge representation is still one of the KEY problems to the success of a practical expert system for geological exploration. Three aspects are discussed in this paper: (a) synthetic-uncertain-inference-model instead of a single inference model is more suitable for describing greatly diverse domain expert's knowledge; (b) strong correlation is often a basic feature among pieces of geological evidence, and can be directly treated under a new form of Bayesian model; (c) inversion of parameters describing knowledge makes knowledge engineering much easier. Finally, a prototype system expressing the above ideas is presented.