The main target of Qualitative reasoning (QS) is to seek a computational theory in order to analog the human’s ability to acquisition and reasoning for physical common sense knowledge.Afte the publication of the firs...The main target of Qualitative reasoning (QS) is to seek a computational theory in order to analog the human’s ability to acquisition and reasoning for physical common sense knowledge.Afte the publication of the first special volume of qualitative reasoning in Journal of AI at 1984,it has been admitted generally that there are three main methods of qualitative reasoning.Although the original goal of three methods are closed, all aim to the "Naive physics", the qualitative simulation method initiated by B.J.Kuipers now has already had a distance with the "Naive physics". It is being combined with sophisticated mathematical tools and becomes a powerful tool for describing the possible behaviors of incomplete systems, meanwhile, the application areas of qualitative simulation have been expanded from physical area to physiology, chemical engineering, automatic control, and economics, etc.. In this paper, we apply the QSIM algorithm to simulate a SISO system characterized by incomplete knowledge and use FPA method to analyze the qualitative stability of such system.展开更多
文摘The main target of Qualitative reasoning (QS) is to seek a computational theory in order to analog the human’s ability to acquisition and reasoning for physical common sense knowledge.Afte the publication of the first special volume of qualitative reasoning in Journal of AI at 1984,it has been admitted generally that there are three main methods of qualitative reasoning.Although the original goal of three methods are closed, all aim to the "Naive physics", the qualitative simulation method initiated by B.J.Kuipers now has already had a distance with the "Naive physics". It is being combined with sophisticated mathematical tools and becomes a powerful tool for describing the possible behaviors of incomplete systems, meanwhile, the application areas of qualitative simulation have been expanded from physical area to physiology, chemical engineering, automatic control, and economics, etc.. In this paper, we apply the QSIM algorithm to simulate a SISO system characterized by incomplete knowledge and use FPA method to analyze the qualitative stability of such system.
