Modeling the alcoholic fermentation of xylose by Pichia stipitis using a qualitative reasoning approach |
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Authors: | F Guerrin J -P Delgenès R Moletta |
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Institution: | (1) Biometrics and Artificial Intelligence Station, INRA (Institut National de la Recherche Agronomique), BP 27-31326, Castanet-Tolosan Cedex, France;(2) Biotechnological Laboratory for Food Industry Environment, INRA, Bd du Général De Gaulle, 11100 Narbonne, France |
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Abstract: | Qualitative Reasoning is a set of Artificial Intelligence theories, methods, and techniques that provide an answer to modeling problems in domains in which one can have a clear notion of how a system is functioning without being able to express it as classical mathematical equations, and where is posed the problem of using jointly quantitative and qualitative data, as well as processing a big amount of complex knowledge. SIMAO ( a System to Interpret Measurements And Observations ) is an attempt to deal with such problems. Although primarily devised for heterogeneous data interpretation in hydroecology, it was thought possible to use SIMAO in a wider context, like biotechnological processes. Starting from specific problems posed by a batch fermentation, the D-xylose conversion into ethanol by the yeast Pichia stipitis, this paper describes how was built and used a SIMAO model aimed at predicting the fermentation issue from initial conditions, i.e. set-points values and substrate concentration.List of Symbols QS
quantity space
- {pp, p, m, f, ff}
quantity space elements
- TR-m
measurement translation rule
- TR-o
observation translation rule
- TR-q
qualitative transfer rule
- incr, decr, inv
primitive unary operators
- +], -], ], /]
primitive binary operators |
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Keywords: | |
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