A knowledge representation for use of catalyst activity patterns

Abstract

This paper presents a knowledge representation for the use of a fuzzy and qualitative data called activity pattern. The data is very often used in a catalyst design which is one of subfields in chemistry. A significant characteristic of the activity pattern is as follows. That is, the human knowledge for using it is very complicated and the cognitive process cannot be represented/simulated by a sequential symbolic computation which is a basis of Artificial Intelligence. In this work, a knowledge representation scheme for making good use of the activity patterns is developed by constructing a cognitive model of the catalyst chemists' activity. A prototype expert system for a catalyst design, INCAP, is developed by using the knowledge representation scheme, and the overview of it is also mentioned.