Complex agent networks: An emerging approach for modeling complex systems

Mei, Shan; Zarrabi, Narges; Lees, Michael; Sloot, Peter M. A.

doi:10.1016/j.asoc.2015.08.010

Cited by 33 publications

(20 citation statements)

References 69 publications

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“…Besides that, formal ABMs were also proposed in public health. Among other examples in the case of infectious diseases, the literature proposes a formal modeling for defining complex agent networks (Mei et al, 2015), a spatio-temporal specification language, EpiSpec, for describing the spread of contagious diseases (a probabilistic framework) (Hussain et al, 2014), and a formal framework for the study of HIV/AIDS, FABS-AIDS (Siddiqa and Niazi, 2013). In the case of NCDs, we cite the stochastic ABM for network dynamics, SIENA (Snijders et al, 2010).…”

Section: Agent-based Paradigm In Public Healthmentioning

confidence: 99%

SimNCD: An agent-based formalism for the study of noncommunicable diseases

Aziza

Borgi

Zgaya

et al. 2016

Engineering Applications of Artificial Intelligence

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Noncommunicable diseases (NCDs) are multifactorial chronic illnesses that cause longterm morbidities in a person's life. Their nonlinear and complex dynamics make them difficult to control and predict. Hence, it is crucial for public health researchers and practitioners to understand and model them. This paper proposes a generic interaction-oriented agent-based modeling for NCDs, called SimNCD. It models individuals living within a social network and daily engaging in activities from the physical environment. The practice of these activities stirs the individual's health vulnerability to cure, acquire or maintain NCDs. This modeling can serve as a tool in public health policies for the study of NCDs where the individual's behavior greatly influences the factors predisposing to that disease. We also propose a specified version of SimNCD for modeling childhood obesity, called SimNCD ChO. More precisely, the latter models the complex relationships between children's physical activity and the development of their corpulence during their growth.

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Section: Agent-based Paradigm In Public Healthmentioning

confidence: 99%

SimNCD: An agent-based formalism for the study of noncommunicable diseases

Aziza

Borgi

Zgaya

et al. 2016

Engineering Applications of Artificial Intelligence

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“…where DV is in-strength and are deflated in-degree or interactions of nodes' deflated in-degree and average return level, like that of out-degree. To verify (6) and (7), let the stock data from 9:00, Jan. 5, 2016, to 15:00, Apr. 4, 2016, together with the former data be the testing set.…”

Section: Network Statistical Charactersmentioning

confidence: 99%

“…Mei et al redefine a "Complex Agent Network" which is able to capture the multiscale spatiotemporal features of complex systems [7]. In [8], some time series transformed to complex networks, and Xu et al show that the distribution of subgraphs characterizes types of continuous dynamics.…”

Section: Introductionmentioning

confidence: 99%

The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock

Zhang

Luo

Deng

et al. 2016

Mathematical Problems in Engineering

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A method based on coarse-graining to construct a directed weighted complex network which models the transformation of the trading data of an individual stock is introduced. The degree (strength) distribution of derived network follows a power-law. A moderated regression equation with interaction effects of average return and out-degree (in-degree) on out-strength (in-strength) is established. Moreover, we found that the differences of nodes affect the network’s structure and average return level impacts nodes’ eigenvector centrality and pagerank, significantly.

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“…Gaining insight into the behaviour of complex systems can greatly improve the effectiveness of transition management. Mei et al [16] state that studying complex systems is essential to understanding and predicting the behaviour of these systems, and can have a significant impact on understanding the complex world around us. Constanza et al [17] state that the analysis of complex systems could potentially offer significant insight into the behaviour of linked ecologicaleconomic systems.…”

Section: Complex Systemsmentioning

confidence: 99%

Investigating a Green Economy Transition of the Electricity Sector in the Western Cape Province of South Africa: A System Dynamics Approach

Oosthuizen

Brent

Musango

et al. 2016

SAJIE

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The Western Cape Government in South Africa has identified the concept of a green economy as a way to transform the Province's economy to one that is more sustainable from an economic, social, and environmental perspective. System dynamics modelling was used to develop a better understanding of the implications of different green economy policies and investments in the electricity sector of the Western Cape Province. The results suggest that continuing on the current policy path would increase the gap between demand and supply, increase the carbon footprint of the electricity sector, and not provide growth in employment in the sector. Strategic green economy investments are therefore expected to impact positively on a number of indicators across a number of sectors. OPSOMMINGDie Wes-Kaapse Regering van Suid-Afrika het die konsep van die groen ekonomie geïdentifiseer as 'n werktuig om die provinsie se ekonomie te omskep in een wat meer volhoubaar is van 'n ekonomiese, sosiale, en omgewings perspektief af. Stelseldinamika modellering was gebruik om 'n beter begrip te ontwikkel van die moontlike voordele en impakte wat verskillende groen ekonomie beleide en beleggings in die elektrisiteits-sektor van die Wes-Kaap kan bewerkstellig. Die resultate van die modellering stel voor dat die voortsetting van die huidige beginsels en beleid sal lei tot 'n groter gaping tussen die aanvraag en die verskaffing van elektriese krag, 'n groter koolstofvoetspoor van die elektrisiteits-sektor, en geen groei in die werkverskaffing van die sektor nie. Daar word verwag dat strategiese groen ekonomie beleggings 'n positiewe impak sal bewerkstellig in menigte aanwysers.

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Complex agent networks: An emerging approach for modeling complex systems

Cited by 33 publications

References 69 publications

SimNCD: An agent-based formalism for the study of noncommunicable diseases

SimNCD: An agent-based formalism for the study of noncommunicable diseases

The Relation between Degree and Strength in the Complex Network Derived from an Individual Stock

Investigating a Green Economy Transition of the Electricity Sector in the Western Cape Province of South Africa: A System Dynamics Approach

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