A context-based multi-perspective modeling and simulation framework

Tekinay,; Seck,; Fumarola,; Verbraeck, Alexander

doi:10.1109/wsc.2010.5679137

Cited by 8 publications

(7 citation statements)

References 13 publications

(12 reference statements)

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“…, Tekinay et al. ). These approaches entail the modular representation of systems within a set of interoperable models that capture reality from multiple angles and at multiple levels of fidelity.…”

Section: Model Integration and Reuse: An Overviewmentioning

confidence: 99%

Multimodel Ecologies: Cultivating Model Ecosystems in Industrial Ecology

Bollinger¹,

Nikolič²,

Davis³

et al. 2015

J of Industrial Ecology

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Many industrial ecology models may be classified as single-use products-constructed to address a specific problem and of little use beyond their original context. But a knowledge ecosystem based around single-use representations of reality wastes effort and resources and limits the impact of industrial ecology as a field. In recent years, tangible progress has been made in areas such as integrated modeling and multisimulation. However, this work tends to discount the evolutionary nature of models and their embeddedness within a changing sociotechnical environment-aspects which, we argue, are central to enabling the sustained usefulness of models in industrial ecology.We define a multimodel ecology as an interacting group of models coevolving with one another in a dynamic sociotechnical environment. A multimodel ecology perspective can facilitate model integration and reuse and highlight different ways in which models-mental, conceptual, and computational-may interact and evolve. To demonstrate the use of this perspective, we introduce and analyze an existing multimodel ecology-the Energy Modeling Laboratory. We conclude with a set of guidelines for facilitating model reuse and integration. Among others, these include use open standards, build simple components, leverage the Web, borrow proudly, and enforce sharing.

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Section: Model Integration and Reuse: An Overviewmentioning

confidence: 99%

Multimodel Ecologies: Cultivating Model Ecosystems in Industrial Ecology

Bollinger¹,

Nikolič²,

Davis³

et al. 2015

J of Industrial Ecology

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“…Hence, one could model a complex system in a richer way by having multiple non-isomorphic decompositions that may influence each other and capture its complexity resulting from the observation through different perspectives. Tekinay et al (2010) introduce a context-based "view" concept as an enabler to support multi-perspective modeling in multi-actor environments using an example of quay crane system. Also, Braun and Esswein (2015) argued that structuring the different views of an information system through multi-perspective modeling is more relevant to improve the understanding of its complexity.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Perspective Modeling of Healthcare Systems

Djitog

Aliyu

Traoré

2017

International Journal of Privacy and Health Information Management

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This paper presents a multi-perspective approach to Modeling and Simulation (M&S) of Healthcare Systems (HS) such that different perspectives are defined and integrated together. The interactions between the isolated perspectives are done through dynamic update of models output-to-parameter integration during concurrent simulations. Most often, simulation-based studies of HS in the literature focus on specific problem like allocation of resources, disease propagation, and population dynamics that are studied with constant parameters from their respective experimental frames throughout the simulation. The proposed idea provides a closer representation of the real situation and helps to capture the interactions between seemingly independent concerns - and the effects of such interactions - in simulation results. The article provides a DEVS (Discrete Event System Specification)-based formalization of the loose integration of the different perspectives, an Object-Oriented framework for its realization and a case study as illustration and proof of concept.

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“…problems spanning multiple scales of time, space and organization, and problems characterized by multiple valid conceptualizations of reality. Beginning with the work of (Oeren 1991), the modeling and simulation community has begun to address this topic under the banners of multisimulation and multi-perspective, multi-resolution and multi-aspect modeling (Tekinay et al 2010;Yilmaz et al 2007). Such approaches entail the modular representation of systems within a set of interoperable models that capture reality from multiple angles and at multiple levels of fidelity.…”

Section: Background and Related Re-searchmentioning

confidence: 99%

Multi-Model Ecologies For Addressing Multi-Scale, Multi-Perspective Policy Problems

Bollinger

2013

ECMS 2013 Proceedings Edited By: Webjorn Rekdalsbakken, Robin T. Bye, Houxiang Zhang

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Many key societal problems share a set of common features -multiple interacting temporal and spatial scales, multiple valid perspectives, changing requirements and unquantifiable uncertainties. These characteristics substantially stress our cognitive and computational resources, limiting our capacity to effectively address these problems. We introduce an approach for dealing with the inherent complexity of such problems. At the core of this approach is the notion of a multi-model ecology -an interacting and constantly evolving system of models, datasets, interfaces and humans tasked with enhancing the ability of decision makers to effectively address a complex policy problem. The multi-model ecology approach entails the systematic fragmentation and gradual reconstitution of a problem's multiple components and dimensions in an evolving participatory context. We describe an implementation of this approach currently in progress -focused on electricity infrastructure vulnerability to climate change -and identify several key areas of research for developing this approach further.

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A context-based multi-perspective modeling and simulation framework

Cited by 8 publications

References 13 publications

Multimodel Ecologies: Cultivating Model Ecosystems in Industrial Ecology

Multimodel Ecologies: Cultivating Model Ecosystems in Industrial Ecology

Multi-Perspective Modeling of Healthcare Systems

Multi-Model Ecologies For Addressing Multi-Scale, Multi-Perspective Policy Problems

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