The Application of Rule-based Expert System to Bio-Separation Process

Wook-Sang Cho; Chang-Hee Bark

Journal of Industrial and Engineering Chemistry, Vol.2, No.2, 189-195, November, 1996

Dept. of Environ. Eng., Univ.of Suwon, Suwon 440-600, Korea
¹Environmental Bureau, Kyunggi-do, Suwon 441-701, Korea

There have been many efforts to apply Artificial intelligence (Al) principles to the complicated problem-domains of engineering. In particular, although Al involves several areas, such as knowledge-based expert system, natural language processing, robotics, vision, etc. knowledge-based expert systems seem to have been of most interest to the engineering domain. A prototype expert system, BIO-EXPERT, was developed to act as an intelligent assistent to aid a biochemical process engineer in determining key parameters and optimal process conditions for the partition of proteins between two aqueous polymer phases. All knowledge in this system was organized into a unique hierarchical knowledge-base, and represented using an IF-THEN rule-based formalism. The system uses a forward-chaining inference mechanism and a pattern-matching process with a conflict-resolution strategy. The prototype system was implemented in common LISP on a SUN 3/50 workstation.

[References]

Stephanoplous G, Chem. Eng. Prog., 83, 9 (1987)
Rao M, Jiang TS, Proc. SCSC 1987, Montreal, Canada (1987)
Albertsson PA, Partition of Cell Particles and Macromolecules, Wiley (1985)
Ryden J, Albertsson PA, J. Colloid Interface Sci., 37, 1 (1971)
Johansson G, Biochim. Biophys. Acta, 221 (1970)
Jogansson G, Biochim. Biophys. Acta, 222 (1970)
Johansson G, J. Chromatogr., 150 (1976)
Discussions with E.K. Lee, Miles Lab., Elkhart, IN.
Minsky M, "A Framework for Representing Knowledge," in "The Psychology of Computer Vision," P.H. Winston ed., McGraw-Hill (1975)
Newell A, Simon HA, "Human Solving," Prentice-Hall (1972)
Barr A, Cohen PR, Feigenbaum EA, Handbook of Artificial Intelligence, Vol. 1 and 2, Williams Kaufmann (1981)
Weiss S, Kulikowski C, A Practical Guide to Designing Expert Systems, Powman and Allanheld (1984)
Lindsay RK, Buchanan BG, Feigenbaum EA, Lederberg J, Applications of Artificial Intelligence for Chemical Inference: the DENDRAL Project, McGraw-Hill (1980)

[1] Stephanoplous G, Chem. Eng. Prog., 83, 9 (1987)

[2] Rao M, Jiang TS, Proc. SCSC 1987, Montreal, Canada (1987)

[3] Albertsson PA, Partition of Cell Particles and Macromolecules, Wiley (1985)

[4] Ryden J, Albertsson PA, J. Colloid Interface Sci., 37, 1 (1971)

[5] Johansson G, Biochim. Biophys. Acta, 221 (1970)

[6] Jogansson G, Biochim. Biophys. Acta, 222 (1970)

[7] Johansson G, J. Chromatogr., 150 (1976)

[8] Discussions with E.K. Lee, Miles Lab., Elkhart, IN.

[9] Minsky M, "A Framework for Representing Knowledge," in "The Psychology of Computer Vision," P.H. Winston ed., McGraw-Hill (1975)

[10] Newell A, Simon HA, "Human Solving," Prentice-Hall (1972)

[11] Barr A, Cohen PR, Feigenbaum EA, Handbook of Artificial Intelligence, Vol. 1 and 2, Williams Kaufmann (1981)

[12] Weiss S, Kulikowski C, A Practical Guide to Designing Expert Systems, Powman and Allanheld (1984)

[13] Lindsay RK, Buchanan BG, Feigenbaum EA, Lederberg J, Applications of Artificial Intelligence for Chemical Inference: the DENDRAL Project, McGraw-Hill (1980)