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Title: A laboratory object-based expert system: The LOBES Project

Miscellaneous ·
OSTI ID:5775612

Over the past decade there has been a tremendous growth in the number of articles representing new techniques in Chemometrics, a subfield of analytical chemistry that is devoted to the mathematical and statistical analysis of data from today's complex laboratory instruments. Currently, one of the major focuses of Chemometrics involves the creation of intelligent computer instrument interfaces by integrating classical robust algorithmic techniques with the heuristics of rules of thumb, used in expert systems. The research described in this work employs an object-based approach, implemented using the KEE expert system development tool, for encoding procedural and diagnostic knowledge in order to aid inexperienced users in the operation, optimization, and diagnosis of a flash photolysis spectrophotometer. Each object contains a standardized template, called DEAB (Do Explain Ask and Branch), for the facile storage and modification of an elemental piece of laboratory based procedural information. The object-based model contains provisions for real-time data acquisition from, and external control of, the spectrophotometer. The benefits of this object-based implementation are that (1) the generic object-based knowledge representation model can be implemented using an inexpensive development tool and computer platform for wide distribution and use, and (2) the discussion of the object-model plus future enhancements can pave the way for the creation of a system that allows chemists who are not well-versed in artificial intelligence to create expert systems that are suited to their own specific experimental requirements.

Research Organization:
Rensselaer Polytechnic Inst., Troy, NY (USA)
OSTI ID:
5775612
Resource Relation:
Other Information: Thesis (Ph. D.)
Country of Publication:
United States
Language:
English