Intelligent assumption retrieval from process models by model-based reasoning

R. Lakner, K. M. Hangos

Research output: Conference contribution

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.

Original languageEnglish
Title of host publicationEngineering of Intelligent Systems - 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Proceedings
EditorsLaszlo Monostori, Jozsef Vancza, Moonis Ali
PublisherSpringer Verlag
Pages145-154
Number of pages10
ISBN (Print)3540422196, 9783540422198
DOIs
Publication statusPublished - 2001
Event14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001 - Budapest, Hungary
Duration: jún. 4 2001jún. 7 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2070
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001
CountryHungary
CityBudapest
Period6/4/016/7/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Intelligent assumption retrieval from process models by model-based reasoning'. Together they form a unique fingerprint.

  • Cite this

    Lakner, R., & Hangos, K. M. (2001). Intelligent assumption retrieval from process models by model-based reasoning. In L. Monostori, J. Vancza, & M. Ali (Eds.), Engineering of Intelligent Systems - 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Proceedings (pp. 145-154). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2070). Springer Verlag. https://doi.org/10.1007/3-540-45517-5_18