Intelligent Assumption Retrieval from Process Models by Model-Based Reasoning

  • Authors:

  • R. Lakner;K. M. Hangos

  • Affiliations:

  • -;-

  • Venue:
  • Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
  • Year:
  • 2001

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Abstract

Process models can be seen as structured knowledge base elements with syntax and semantics dictated by the underlying physical and chemical laws. The effect of model simplification assumptions is then determined by forward reasoning in order to take into account all of their implications. A bidirectional reasoning method for the retrieval of modelling assumptions from two related process models is proposed. An intelligent model editor is constructed to perform and test the model-based reasoning methods related to the assumption retrieval.