2017•Unpublished venueRequires access

Introduction to the DEVS Modeling and Simulation Formalism

Gabriel Wainer

Open publisher page 0 citations

Abstract

This chapter discusses some of the basic ideas behind modeling and simulation theory of modeling and simulation, the reader should refer to Zeigler; Zeigler, Praehofer, and Kim; and Zeigler to understand the details behind the mathematical background of this technique. Discrete-event simulation techniques were developed hand in hand with the creation of the computer. The separation of concerns and the use of a formal mechanism to describe each of the components allowed Discrete-event systems specification (DEVS) methodology to improve the creation of models and the execution of simulations. DEVS was created for modeling and simulating discrete-event dynamic systems; thus, it defines a way to specify systems whose states change either upon the reception of an input event or due to the expiration of a time delay. Coupled models group several DEVS into a composite model that can be regarded, due to the closure property, as a new DEVS model.

About this research paper

What this paper is about

This chapter discusses some of the basic ideas behind modeling and simulation theory of modeling and simulation, the reader should refer to Zeigler; Zeigler, Praehofer, and Kim; and Zeigler to understand the details behind the mathematical background of this technique. Discrete-event simulation techniques were developed hand in hand with the creation of the computer. The separation of concerns and the use of a formal mechanism to describe each of the components allowed Discrete-event systems specification (DEVS) methodology to improve the creation of models and the execution of simulations. DEVS was created for modeling and simulating discrete-event dynamic systems; thus, it defines a way to specify systems whose states change either upon the reception of an input event or due to the expiration of a time delay. Coupled models group several DEVS into a composite model that can be regarded, due to the closure property, as a new DEVS model.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This chapter discusses some of the basic ideas behind modeling and simulation theory of modeling and simulation, the reader should refer to Zeigler; Zeigler, Praehofer, and Kim; and Zeigler to understand the details behind the mathematical background of this technique. Discrete-event simulation techniques were developed hand in hand with the creation of the computer. The separation of concerns and the use of a formal mechanism to describe each of the components allowed Discrete-event systems specification (DEVS) methodology to improve the creation of models and the execution of simulations. DEVS was created for modeling and simulating discrete-event dynamic systems; thus, it defines a way to specify systems whose states change either upon the reception of an input event or due to the expiration of a time delay. Coupled models group several DEVS into a composite model that can be regarded, due to the closure property, as a new DEVS model.

Key concepts: DEVS, Formalism (music), Computer science, Modeling and simulation, Simulation, Art, Visual arts, Musical

Related papers

Back to paper searchBrowse research topicsOriginal source
Introduction to the DEVS Modeling and Simulation Formalism — Research Paper | ScholarLens