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a similar structure, that is, they all can be modeled as a nested and hierarchical
structure, and each hierarchical structure also includes multiple levels of ab-
straction. They also have a similar ability of representation, that is, they all can
represent a problem from one view with multiple levels of abstraction or from
multiview and multilevel. In fact, Granular structures is an intuitive reflection of
structured prior knowledge relevant to the solved problem, and the construction
of granular structures is need the guidance of relevant prior knowledge.
5Conluon
In this paper, a nested and hierarchical organization of prior knowledge based on
multidimensional data model is proposed, it is the basis of structured thinking.
A representation of granular structures based on multidimensional data model
is also proposed, it can represents a problem from multiview and multilevel.
Finally, the relation between structured prior knowledge and granular structure
is analyzed.
From the discussion, we conclude that the reason of human intelligence can
solve problem at different levels of granularities is that human can not only use
hierarchically organized relevant prior knowledge subconsciously, but also use
structured prior knowledge to reorganize the solved problem as a good represen-
tation (granular structure) in problem solving.
Acknowledgments.
This work was supported by Youth Technology Research
Foundation of Shanxi Province(2008021007), the Natural Science Foundation of
Shanxi Normal University(YZ06001) and National Natural Science Foundation
of China (Serial No. 60775036).
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