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Model Engineering for Simulation

by Lin Zhang

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A DEVS-focused guide to building and managing simulation models

$145.55 USD
$145.55 USD $145.55 USD

Paperback New English

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AlbakiReads Editorial

A DEVS-focused guide to building and managing simulation models

Edited by Lin Zhang, this technical volume organizes simulation work around the DEVS formalism, from model description and complexity analysis to validation, verification, and credibility measurement. It treats model engineering as a lifecycle: models must be described, managed, composed as services, and assessed quantitatively—not simply implemented. The material also addresses object-oriented simulation design for parallel and distributed computing environments, connecting formal modeling concerns with computational efficiency. With its emphasis on generic, normalized, and quantifiable approaches, the book is positioned as a structured reference for developing simulation systems and managing their models over time.

Good fit for readers who enjoy

  • Students and practitioners working with applied modeling and simulation
  • Researchers using or studying DEVS formalism
  • Software and systems engineers developing parallel or distributed simulations

Themes

DEVS formalismModel lifecycle managementValidation and verificationModel credibilityParallel and distributed simulation

Based on publisher information and book metadata.

Book overview

Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.

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