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Flexible modeling language in qualitative simulation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Qualitative Simulation is one of research areas in Artificial Intelligence. It is a strong tool to analyze various types of dynamics, but simulation model used in the existing qualitative simulation has a strong limitation where the complex condition and nonautonomous model can not be expressed. To solve the problems, we propose the following new modeling. First, we define a modeling method regarding relationship and transmission of effect between nodes. In addition, we consider a strength of cause and effect to analyze complex condition and situation. Second we define a new unified modeling language to express a complex graph-based qualitative simulation model. Our proposed method can give an analyzed result of an nonautonomous system where the parameter depends on time-pass.

Original languageEnglish
Title of host publicationComputers,Networks, Systems, and Industrial Engineering 2011
EditorsRoger Lee, Yung-Cheol Byun, Kiumi Akingbehin
Pages49-62
Number of pages14
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume365
ISSN (Print)1860-949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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