Proceedings of the 2004 Winter Simulation Conference, 2004.
DOI: 10.1109/wsc.2004.1371388
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Exploring Agent-Supported Simulation Brokering on the Semantic Web: Foundations for a Dynamic Composability Approach

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Cited by 5 publications
(7 citation statements)
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“…Within this paper, we merged former independent solution to provide a framework for agent-mediated as envisioned in visions provided nearly a decade ago (Yilmaz and Oren 2004). The formalism provided by Diallo (2010) allows creating profiles for the model-based solutions that can be used by ambassador agents to identify applicable solutions that can contribute to answering the research question, to select the best solution or mix of solution if alternatives are available, to compose the selected model-based solutions, and to orchestrate the execution thereof.…”
Section: Discussionmentioning
confidence: 99%
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“…Within this paper, we merged former independent solution to provide a framework for agent-mediated as envisioned in visions provided nearly a decade ago (Yilmaz and Oren 2004). The formalism provided by Diallo (2010) allows creating profiles for the model-based solutions that can be used by ambassador agents to identify applicable solutions that can contribute to answering the research question, to select the best solution or mix of solution if alternatives are available, to compose the selected model-based solutions, and to orchestrate the execution thereof.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, today even these exact sciences agree with the post-positivistic worldview that it is not possible to agree on one truth, and not even language or logic are perceived to be means of unambiguous representations of truth. Yilmaz and Oren (2004) introduced the ideas of multi-models and multi-simulation to cope with this challenge. They define a multi-model as a modular model that subsumes multiple sub-models that together constitute the behavior of a complex multi-phased process and as such encapsulating several aspects of reality.…”
Section: Challenges To Address When Composing Model-based Solutionsmentioning
confidence: 99%
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