Multi-modeling and Co-simulation-Based Mobile Ubiquitous Protocols and Services Development and Assessment

Leclerc, Tom; Siebert, Julien; Chevrier, Vincent; Ciarletta, Laurent; Festor, Olivier

doi:10.1007/978-3-642-29154-8_23

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…A software version of AA4MM in multi-threaded JAVA was used for proofs of concept [6], to study the mutual influences between mobility models and routing algorithms in mobile ad-hoc networks [8] or to represent multi-level phenomenon [5]. Figures 1 and 2 illustrate how the AA4MM framework deals with the interaction between models, using agents.…”

Section: The Aa4mm Meta-modelmentioning

confidence: 99%

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Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

Gilpin¹,

Ciarletta²,

Presse³

et al. 2014

Proceedings of the Seventh International Conference on Simulation Tools and Techniques

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Multi-modeling and co-simulation are one of the solutions for dealing with complex systems. In this paper, we propose to apply the AA4MM framework to the co-simulation of a smart space heating "complex" environment with 2 objectives. Our first contribution is the development of AA4MM-FMI (Agent and Artifact for Multiple Models coordination for FMI). AA4MM is a modeling and simulation framework that can be used to implement the "master" in a multiple FMU (Functional Mock-up Unit) co-simulation of the FMI (Functional Mock-up Interface) standard with a fully decentralized view and intrinsic coordination. Our second contribution is to apply and evaluate this solution by creating a hierarchy of smart space models that are exploiting house geometry information. Each individual room is represented as an independent FMU taking inputs of the room's geometric information (surface area, volume, insulation, etc.), target temperature, and neighboring rooms. The neighboring rooms are connected to each other using the AA4MM-FMI framework. This project aims to couple an electrical heating-based simulation with networking event-based simulations to gain intuition for how house geometry affects efficient heating and network connectivity. Using this smart space house heating problem, we are able to test AA4MM-FMI (our novel "master") for FMI and multi-simulation.

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Section: The Aa4mm Meta-modelmentioning

confidence: 99%

“…AA4MM-FMI is middleware framework which allows for the coupling of FMUs to built a more complex simulation. AA4MM-FMI is based on AA4MM [8,9,10]. We present AA4MM-FMI as a way to redesign and implement the "master" in FMI with a decentralized view.…”

Section: Aa4mm-fmimentioning

confidence: 99%

Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

Gilpin¹,

Ciarletta²,

Presse³

et al. 2014

Proceedings of the Seventh International Conference on Simulation Tools and Techniques

Self Cite

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“…Conceptual proofs of this approach with the coupling of Netlogo simulators have been done (Siebert et al 2010b). We applied AA4MM to study the mutual influences between mobility models and routing algorithms in mobile ad-hoc networks (Leclerc et al 2010). In the following, we describe the implementation of a multi-model with AA4MM (Section 3.3) and how we extend the original specifications to implement multi-level coupling (Section 3.4).…”

Section: It Proposes Three Functions (See Fig 5)mentioning

confidence: 99%

Considering a Multi-Level Model as a Society of Interacting Models: Application to a Collective Motion Example

Camus¹,

Bourjot²,

Chevrier³

2015

JASSS

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As they involve relationships between interacting individuals and groups, social systems can be described at different levels of resolution. In a number of modeling cases, only one of these levels is explicitly represented. In order to study phenomena where both individual and collective representations are needed, multi-level modeling is a good approach as it explicitly represents these different levels. We propose to consider a multi-level representation from a multi-modeling point of view. This perspective allows explicitly specifying the level's relationships and, therefore, to test hypothesis about interaction between individuals and groups in social systems. We define a framework to better specify the concepts used in multilevel modeling and their relationships. This framework is implemented through the AA4MM meta-model, which benefits from a middleware layer. This meta-model uses the multi-agent paradigm to consider a multi-model as a society of interacting models. We extend this meta-model to consider multilevel modeling, and present a proof of concept of a collective motion example, where we show the advantages of this approach for the study of social phenomena.

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“…Future works should address questions related to the development of formal models [18], [19] or co-simulation [20] related to human systems integration engineering and design. New questions arise when dealing with deontic or ethical questions that might be handled by human systems integration together with classical formal modelling languages based on deontic or modal languages.…”

Section: Conclusion and Perspectivementioning

confidence: 99%

Human Systems Integration Design: Which Generalized Rationale?

Lieber

Fass

2011

Human Centered Design

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Abstract. In this paper, we present a synthesis of our fundamental and theoretical research on human system integration and human in-the-loop system for enhancing human performance -especially for technical gestures, in safety critical systems operations such as surgery, astronauts' extra-vehicular activities and aeronautics. Grounding humans-systems integration engineering and design (modelling and simulation) on a formally and experimentally verified theoretical framework, is a necessity to make sure of human in-the-loop system security, safety and reliability. The rise issues concerned with scientific principles of human systems integration and rationale for human in-the-loop systems technical engineering and managerial specific rules.

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Multi-modeling and Co-simulation-Based Mobile Ubiquitous Protocols and Services Development and Assessment

Cited by 6 publications

References 9 publications

Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

Considering a Multi-Level Model as a Society of Interacting Models: Application to a Collective Motion Example

Human Systems Integration Design: Which Generalized Rationale?

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