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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Guest editorial to the theme section on Multi-Paradigm Modeling for Cyber-Physical Systems.

Eugene Syriani1, Manuel Wimmer2

  • 1Department of Computer Science and Operations Research, University of Montreal, C.P. 6128, succ. Centre-Ville, Montreal, QC H3C 3J7 Canada.

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Summary
This summary is machine-generated.

This research disseminates Multi-Paradigm Modeling for Cyber-Physical Systems (MPM4CPS) findings. It highlights advancements in engineering complex cyber-physical systems using MPM techniques.

Keywords:
Cyber-physical systemsModel-driven engineeringMulti-paradigm modelingSystems engineering

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Area of Science:

  • Cyber-Physical Systems Engineering
  • Model-Driven Engineering
  • Software Engineering

Background:

  • Multi-Paradigm Modeling (MPM) has a decade-long tradition in Model-Driven Engineering.
  • The MPM for Cyber-Physical Systems (MPM4CPS) workshop series extends MPM research with a focus on CPS challenges.
  • Cyber-Physical Systems (CPS) present unique engineering complexities demanding advanced modeling approaches.

Discussion:

  • This theme section presents peer-reviewed research on MPM foundations and applications for CPS.
  • The focus is on addressing the specific engineering challenges posed by cyber-physical systems.
  • Accepted papers reflect the latest advancements in the field.

Key Insights:

  • MPM is crucial for tackling the intricate nature of cyber-physical systems.
  • The MPM4CPS initiative fosters innovation in modeling complex, interconnected systems.
  • Successful peer review ensures the quality and relevance of published research.

Outlook:

  • Continued research in MPM4CPS is expected to drive advancements in cyber-physical system design.
  • Future work will likely explore novel MPM techniques tailored to emerging CPS applications.
  • The integration of diverse modeling paradigms will be key to future CPS engineering.