Integrated cellular framework for modeling ecosystems: Theory and applications

Kazi, Baha Uddin; Wainer, Gabriel

doi:10.1177/0037549717706007

Cited by 6 publications

(7 citation statements)

References 35 publications

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“…The Cell-DEVS formalism has been used for modeling and simulation of varied phenomena, 8–11 based on our work with Norbert and our original discussions. This non-comprehensive list can be classified in various areas: traffic, 12–16 physics, 17–19 environmental modeling, 19–25 networking, 26–29 architecture and construction, 30–34 biology and medicine, 35–39 defense and emergency planning, 40–48 social models, 48–50 crowd modeling, 51…”

Section: Introductionmentioning

confidence: 99%

Advanced Cell-DEVS modeling applications: a legacy of Norbert Giambiasi

Wainer

2018

SIMULATION

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We describe a number of modeling applications of advanced Cell-DEVS models, a modeling formalism Norbert Giambiasi and I defined in the late 1990s. We discuss improved versions of these models built using the CD ++ toolkit, which was built in order to study, model, and simulate such cellular models. The models have removed some limitations that standard cellular models have, which allow each cell to use multiple state variables and multiple ports for inter-cell communications. We show the application of the formalism in three different areas of science and engineering: social models, pedestrian analysis and occupancy in buildings, and virus spreading in computer networks.

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Section: Introductionmentioning

confidence: 99%

Advanced Cell-DEVS modeling applications: a legacy of Norbert Giambiasi

Wainer

2018

SIMULATION

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“…It comprises five papers published in the preceding issue of the journal. [4][5][6][7][8] This part includes two additional papers employing discrete event system specification (DEVS) formalism. An overview of the included papers is as follows.…”

mentioning

confidence: 99%

The advances in the state of the art of modeling and simulation: Discrete event system specification (DEVS)

Mustafee

Mittal

Diallo³

et al. 2018

SIMULATION

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“…The third paper in the special issue, by Kazi and Wainer, 8 not only has resonance with topics such as sustainability and circular economy, but the authors go further in contextualizing their work to the spatial analysis of ecosystem services. The authors have used a combination of discrete event systems (DEVS), formalism-based cell-DEVS modeling with geographic information systems (for data collection), web-based simulation for remote execution, and visualization of results using a geospatial visualization system.…”

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confidence: 99%

Hybrid systems modeling

Mustafee

Mittal

Diallo³

et al. 2018

SIMULATION

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The 'Advances in the State of the Art of Modeling and Simulation' special issue is in two parts. The first part comprises five papers on hybrid systems modeling, 1-3 which is the combined application of modeling and simulation with methods and techniques from disciplines such as computer science/applied computing, business analytics, data science, operations research, systems engineering, economics, humanities, and psychology. Examples include the combined application of qualitative system dynamics, problem structuring methods, forecasting, classical optimization techniques, process mining, data-mining, machine learning, game-theoretic modeling, etc. with computer simulation. The mixed method approach could be applied to different stages of a modeling and simulation study (problem formulation, model implementation, verification and validation, experimentation, etc.).The second part of the special issue comprises two papers on discrete event system specification. 4,5 These two papers will be published in the next issue of the journal. The five hybrid systems modeling papers from this special issue are now introduced, together with an outline of specific methods and techniques that have been combined with modeling and simulation approaches.Collins and Frydenlund 6 present a hybrid systems modeling approach that combines game theory, a branch of economics that is devoted to the study of conflict and cooperation between rational decision-makers, with modeling and simulation. The authors explore strategic group formation by drawing on cooperative game theory in agent-based modeling for group decision-making. They consider a game setting in which agents compete for resources with their neighbors. The authors state that by placing strategic group selection behavior in an agent environment, they benefit from empirical results that overcome some of the limitations of standard cooperative game theory (e.g., computational complexity). This is indeed the objective of hybrid systems modeling -to combine modeling and simulation approaches with methods and techniques from other disciplines with the view of developing the best possible representation of the underlying system under study.The paper by Bell and Mgbemena 7 is again an example of a hybrid systems modeling approach, in which the authors combine data-mining techniques with computer simulation. More specifically, the authors have used agent-based modeling with classification and regression trees (CART), a type of decision tree, to understand customer behavior specific to retention in mobile telecommunication marketspace. The paper presents the customer-agent decision tree (CADET) method, which is a data-driven approach to agent-based modeling and simulation utilizing large and rapidly changing datasets.The third paper in the special issue, by Kazi and Wainer, 8 not only has resonance with topics such as sustainability and circular economy, but the authors go further in contextualizing their work to the spatial analysis of ecosystem services. The authors have used a comb...

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Integrated cellular framework for modeling ecosystems: Theory and applications

Cited by 6 publications

References 35 publications

Advanced Cell-DEVS modeling applications: a legacy of Norbert Giambiasi

Advanced Cell-DEVS modeling applications: a legacy of Norbert Giambiasi

The advances in the state of the art of modeling and simulation: Discrete event system specification (DEVS)

Hybrid systems modeling

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