About this book series

The modeling and simulation community extends over a range of diverse disciplines and this landscape continues to expand at an impressive rate. Over recent years, modeling and simulation has matured to become its own discipline, while continuing to provide support to other disciplines. As such, modeling and simulation provides the necessary conceptual insights as well as computational support which has an established record of significantly enhancing the understanding of dynamic system behavior and improving the system design process, as well as providing the foundations for computational sciences and practical applications, from cyber-physical systems to healthcare. Hybrid methods and combinations with artificial intelligence and machine learning open new possibilities as well. The ever-increasing availability of computational power and the availability of quantum computers make applications feasible that were previously beyond consideration. Simulation is pushing back the boundaries of what it can be applied to and what can be solved in practice. Its relevance and applicability are unconstrained by discipline boundaries.

Simulation Foundations, Methods and Applications hosts high-quality contributions that address the various facets of the modeling and simulation enterprise. These range from fundamental concepts that are strengthening the foundation of the discipline to the exploration of advances and emerging developments in the expanding landscape of application areas. The underlying intent is to facilitate and promote the sharing of creative ideas across discipline boundaries.

As every simulation is rooted in a model, which results from simplifying and abstracting the reference of interest to best answer research questions or support the application domain of interest, we understand the model development phase as a prerequisite for any simulation application. There is an expectation that modeling issues will be appropriately addressed in each presentation. Incorporation of case studies and simulation results will be strongly encouraged.

Titles of this series can span a variety of product types, including but not exclusively, textbooks, expository monographs, contributed volumes, research monographs, professional texts, guidebooks, and other references.

These books will appeal to senior undergraduate and graduate students, and researchers in any of a host of disciplines where modeling and simulation has become (or is becoming) an important problem-solving tool. Some titles will also directly appeal to modeling and simulation professionals and practitioners.
Electronic ISSN
2195-2825
Print ISSN
2195-2817
Series Editor
  • Andreas Tolk

Book titles in this series

  1. Body of Knowledge for Modeling and Simulation

    A Handbook by the Society for Modeling and Simulation International

    Editors:
    • Tuncer Ă–ren
    • Bernard P. Zeigler
    • Andreas Tolk
    • Copyright: 2023

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook
  2. Models for Research and Understanding

    Exploring Dynamic Systems, Unconventional Approaches, and Applications

    Authors:
    • Stanislaw Raczynski
    • Copyright: 2022

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook
  3. Modelling and Simulation

    Exploring Dynamic System Behaviour

    Authors:
    • Louis G. Birta
    • Gilbert Arbez
    • Copyright: 2019

    Available Renditions

    • Hard cover
    • Soft cover
    • eBook
  4. Summer of Simulation

    50 Years of Seminal Computer Simulation Research

    Editors:
    • John Sokolowski
    • Umut Durak
    • Navonil Mustafee
    • Andreas Tolk
    • Copyright: 2019

    Available Renditions

    • Hard cover
    • eBook

Abstracted and indexed in

  1. DBLP
  2. zbMATH