On the way to autonomous systems, one of the key issues concerns spatial reasoning what involves solving problems with uncertainty. From the starting point of human nature, information must be represented in a way that any system can reason with imprecise knowledge about different physical aspects and make correct decisions from them. Keeping this idea in mind, this paper presents the qualitati...

Since the 1990s, the research of cluster economy gradually becomes a topic of interest for academic economists and Management experts. In order to obtain the effects of cluster network structure on the behavior of enterprise imitation, based on neighbor effect, this paper builds dynamic model of a single enterprise income, then explores the propagation of corporate behavior under random network...

Qualitative propagation influences in qualitative inferences are unlike and interrelated on the different hierarchy of knowledge granules, and quantitative information loss easily results in reasoning conflicts. This paper presents a hierarchical qualitative inference model with substructures which to some extent can eliminate the qualitative impact of uncertainty and solve trade-off problems b...

Qualitative reasoning can, and should, be decomposed into a model-buibding task, which creates a qualitative differential equation (&DE) as a model of a physical situation, and a qualitative simuhtion task, which starts with a QDE, and predicts the possible behaviors following from the model. In support of this claim, we present &PC, a model builder that takes the general approach of Qualitativ...

Qualitative reasoning can, and should, be decomposed into a model-building task, which creates a qualitative differential equation (QDE) as a model of a physical situation, and a qualitative simulation task, which starts with a QDE . and predicts the possible behaviors following from the model . In support of this claim, we present QPC, a model builder that takes the general approach of Qualita...

Qualitative reasoning can, and should, be decomposed into a model-building task, which creates a qualitative diierential equation (QDE) as a model of a physical situation, and a qualitative simulation task, which starts with a QDE, and predicts the possible behaviors following from the model. In support of this claim, we present QPC, a model builder that takes the general approach of Qualitativ...

B C, D E % FG AH ! I ; A A% .FG J /=<K%A/?7 L I M N / O ; H % P A M = % .F() B 7(/0 =; Q7 H N-.%& 1/R . S ; A A M T/$ /= R 0 E /: U ;/L NV A ;/L = G W A M N $ % .F ; 2F # :% 2H SCXH %2 NHT M # /= A $ "/Y Z ; [ AH %&/L ; /1%A/\ J N C,% AHI &H ] #) ^ AH %&/ _C, , 0 N-.%A C`/1 ] . : . ; H ;/ a AH b A ; $ % .FO . `c# ; A% %2-. d I ; A/D*e ;% AH f J : # :%& M M U . " g # hc# M &% J N J%2-. d 7(/1 \-...

In this paper, an Evolutionary Qualitative Model Learning Framework (EQML) is proposed and tested by learning the qualitative metabolic models under the condition of incomplete knowledge. JMorven, a fuzzy qualitative reasoning engine, is slightly modified and integrated into the framework as a sub module to represent and verify the learnt models. Three metabolic compartment models are tested by...