Application of Complex Adaptive System Theory to Water Resources Allocation in Dianchi Basin

2012 ◽  
Vol 212-213 ◽  
pp. 536-542
Author(s):  
Qiong Su ◽  
Shi Hua He
Keyword(s):  
System Theory ◽  
Water Resources ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Evolutionary Mechanisms ◽  
Reservoir Water ◽  
Allocation System ◽  
Complex Adaptive

Based on complex adaptive system theory, the characteristics of water resources allocation system of river basin are analyzed. Evolutionary mechanisms and process of complex adaptive water resources allocation system in Dianchi basin are researched, and also characteristics of "learning". A complex adaptive system model of water-resource allocation is established during analyzing the influence factors and the reaction rules of water consumer agents and water provider agents. And based on this model, water resources in Dianchi basin is allocated only under Dianchi water provider and Zhangjiu river Yunlong reservoir water provider by using the platform of matlab. Finally, corresponding calculation results and conclusions are concluded.

A Multi-Agent Simulation Model for Water Resources Allocation and Scheduling

2012 ◽  
Vol 433-440 ◽  
pp. 1447-1452
Author(s):  
Wei Huang ◽  
Xing Nan Zhang ◽  
Jian Ying Wang
Keyword(s):  
Water Resources ◽  
Simulation Model ◽  
Large Scale ◽  
Complex Adaptive System ◽  
Modelling And Simulation ◽  
Water Diversion ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Complex Adaptive ◽  
North Water

The South-to-North Water Diversion Eastern Route Project of China is a complex large scale system. It is important of constructing a modelling and simulation for this type of system. This paper proposes a modelling and simulation technique for large scale water project based on Agent calculation and complex adaptive system (CAS). The simulation experiment system, about multi-Agents of water resources in East CAS management features is conducted using SWARM. We demonstrate also the interaction within all kinds of objects and the behaviour of system evolvement in the course of water resources allocation and scheduling. The simulation results show the proposed simulation model effective.

scholarly journals Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Lauren S. Penney ◽  
Musarrat Nahid ◽  
Luci K. Leykum ◽  
Holly Jordan Lanham ◽  
Polly H. Noël ◽  
...  
Keyword(s):  
System Theory ◽  
Systematic Review ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Complex Adaptive

scholarly journals Inojezični razvoj i teorije dinamičnih sustava

2018 ◽  
Vol 13 (2) ◽  
pp. 287
Author(s):  
Marijana Bašić
Keyword(s):  
System Theory ◽  
Complex Systems ◽  
Systems Theory ◽  
Complexity Theory ◽  
Dynamic Systems ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Dynamic Systems Theory ◽  
Complex Adaptive

U ovome se radu raspravlja o dosadašnjim teorijskim spoznajama o inojezičnome razvoju iz perspektive teorije dinamičnih sustava (engl. Dynamic systems theory, tj. DST), o pokušaju oblikovanja razvojnoga indeksa, o pojavi teorijskoga pluralizma u okviru kojega se ukazalo na sličnosti između složenih nepravocrtnih sustava koji se pojavljuju u prirodi i pri ovladavanju inim jezikom te o različitim načinima mjerenja složenosti, točnosti i tečnosti, tj. STOT-a (engl. complexity, accuracy and fluency, tj. CAF). Opisuju se nove metode istraživanja inojezičnoga razvoja te daje detaljan pregled najvažnijih recentnih istraživanja u okviru teorije dinamičnih sustava, odnosno teorije kaosa ili složenosti (engl. Chaos/complexity theory, tj. C/ CT), teorije složenih prilagodljivih sustava (engl. Complex adaptive system theory, tj. CAS) i (nad)teorije složenih sustava (engl. Complex systems supra-theory).

scholarly journals Identification of Driving Factors of Scientific and Technological Innovation in the New Material Industry Based on the Theory of Complex Adaptive System: Taking the Construction of Green Innovation System as an Example

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tengfei Ma ◽  
Chao Liu
Keyword(s):  
System Theory ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Innovation System ◽  
Innovation Systems ◽  
Material Industry ◽  
Green Innovation ◽  
Entry Points ◽  
Complex Adaptive ◽  
New Material

Complex adaptation systems are the main development direction of China’s current green innovation research. New material industry is one of the key entry points to accelerate the construction of modern industrial system and promote innovation, green, and efficient development. Under the requirements of China’s current low-carbon development, China’s green innovation system is developing rapidly. Green innovation complicates traditional innovation models and their functions and improves economic development. The purpose of this paper is to study the theoretical analysis framework of applying complex adaptive systems and to analyze and calculate the characteristics of the current status of green innovation systems in multiple industries in China’s manufacturing industry. Analysis is as follows. The experimental group and the control group are set for comparison, and the data are organized by applying complex adaptive system theory and data analysis methods. Experimental data show that the coordinated development of the green innovation systems in various industries in China is not balanced, with a difference of more than three times; the parameters of the various green innovation systems within the industry are unbalanced, and the difference is more than five times. The experimental results show that the green innovation subject can strategically interact by adjusting the ratio of resource allocation through the constructed green innovation system model. The green innovation system with complex adaptive system theory is conducive to the development of the green system. It can save about 23% of green innovation time and improve efficiency by about 15%, to promote the development of green innovation in China.

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