Abstract
As an innovative tutorial, this paperconducts a comprehensive investigation into theconceptualism and methodology of large complexsystems (LCS). Firstly, in the conceptualism ofLCS, intrinsic attributes of LCS areidentified, a human/machine unifiedepistemology is proposed for LCS, a taxonomy ofLCS is developed, and the evolution of controlsynthesis from continuous-variate real-timecontrol systems to LCS is derived. Furthermore,in the methodology of LCS, the problem ofmacrostructural modelization of LCS isformulated, and a description based model isproposed and established for LCS. Finally, aunified framework based analysis is presentedon three typical examples of LCS to generallyillustrate the conceptualism and methodology ofLCS.
| Original language | English |
|---|---|
| Journal | Artificial Intelligence Review |
| Publication status | Published - 1 Apr 2002 |
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Keywords
- nested system
- perception-decision link
- macrostructural modelization
- large complex system
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An innovative tutorial on large complex systems. / Tianfield, Huaglory.
In: Artificial Intelligence Review, 01.04.2002.Research output: Contribution to journal › Article
TY - JOUR
T1 - An innovative tutorial on large complex systems
AU - Tianfield, Huaglory
N1 - Originally published in: Artificial Intelligence Review (2005), 23 (1), pp.57-91.
PY - 2002/4/1
Y1 - 2002/4/1
N2 - As an innovative tutorial, this paperconducts a comprehensive investigation into theconceptualism and methodology of large complexsystems (LCS). Firstly, in the conceptualism ofLCS, intrinsic attributes of LCS areidentified, a human/machine unifiedepistemology is proposed for LCS, a taxonomy ofLCS is developed, and the evolution of controlsynthesis from continuous-variate real-timecontrol systems to LCS is derived. Furthermore,in the methodology of LCS, the problem ofmacrostructural modelization of LCS isformulated, and a description based model isproposed and established for LCS. Finally, aunified framework based analysis is presentedon three typical examples of LCS to generallyillustrate the conceptualism and methodology ofLCS.
AB - As an innovative tutorial, this paperconducts a comprehensive investigation into theconceptualism and methodology of large complexsystems (LCS). Firstly, in the conceptualism ofLCS, intrinsic attributes of LCS areidentified, a human/machine unifiedepistemology is proposed for LCS, a taxonomy ofLCS is developed, and the evolution of controlsynthesis from continuous-variate real-timecontrol systems to LCS is derived. Furthermore,in the methodology of LCS, the problem ofmacrostructural modelization of LCS isformulated, and a description based model isproposed and established for LCS. Finally, aunified framework based analysis is presentedon three typical examples of LCS to generallyillustrate the conceptualism and methodology ofLCS.
KW - nested system
KW - perception-decision link
KW - macrostructural modelization
KW - large complex system
M3 - Article
JO - Artificial Intelligence Review
JF - Artificial Intelligence Review
SN - 0269-2821
ER -