Last edited by Daikus
Wednesday, July 29, 2020 | History

5 edition of The RAND Advanced Simulation Language project"s declarative modeling formalism (DMOD) found in the catalog.

The RAND Advanced Simulation Language project"s declarative modeling formalism (DMOD)

by Jeff Rothenberg

  • 266 Want to read
  • 34 Currently reading

Published by Rand in Santa Monica, CA .
Written in English

    Places:
  • United States
    • Subjects:
    • RAND Advanced Simulation Language (Project),
    • Transportation, Military -- Computer simulation.,
    • Digital computer simulation.,
    • United States -- Armed Forces -- Transportation.

    • Edition Notes

      StatementJeff Rothenberg, Sanjai Narain.
      ContributionsNarain, Sanjai, 1957-, United States. Advanced Research Projects Agency.
      Classifications
      LC ClassificationsUC273 .R68 1994
      The Physical Object
      Paginationix, 60 p. ;
      Number of Pages60
      ID Numbers
      Open LibraryOL1096198M
      ISBN 100833015559
      LC Control Number94020774

        Balci, Balci, O. () The implementation of four conceptual frameworks for simulation modeling in high-level languages. In WSC ‘ Proceedings of the 20th conference on Winter simulation, pages –, San Diego, California, United States. Credible Uses of Computational Modeling in Public Sector Decision Making Show all authors. The RAND Advanced Simulation Language Project’s Declarative Modeling Formalism (DMOD) (RAND/MRARPA). Santa Monica, CA: RAND. Google Scholar.

      Data binding allows to systematically exploit XML and its associated technologies for modeling and simulation purposes. Based on the schema definition of a formalism, a binding compiler generates model classes that support the user in constructing models according to the formalism. A model of causal reasoning within diagnosis is presented. We first propose that people use a sequential anchor-and-adjust strategy in discounting an explanation by alternatives. The RAND Advanced Simulation Language Projects Declarative Modeling Formalism (DMOD) May 6, 05/20 The book presents ideas by H. Poincare and H. Minkowski.

      Declarative modeling of a neurulation-like process. BioSystems, , February pdf file: Antoine Spicher and Olivier Michel. Using rewriting techniques in the simulation of dynamical systems: Application to the modeling of sperm crawling. – Modeling and simulation could take 80% of control analysis effort. • Model is a mathematical representations of a system – Models allow simulating and analyzing the system – Models are never exact • Modeling depends on your goal – A single system may have many models – Large ‘libraries’ of standard model templates exist.


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The RAND Advanced Simulation Language project"s declarative modeling formalism (DMOD) by Jeff Rothenberg Download PDF EPUB FB2

The report presents an in-depth description of the Declarative MODeling formalism (DMOD) that was developed by the RASL project. DMOD can be thought of as an attempt to formulate a logical description of the event-scheduling view of discrete-event by: 2.

The RASL project is researching new modeling techniques that will allow simulation and planning to be performed in an integrated fashion, using a single, underlying model of the strategic mobility domain. This project has developed a new declarative modeling formalism (DMOD) for modeling and reasoning about dynamic systems.

The RAND Advanced Simulation Language project's declarative modeling formalism (DMOD). [Jeff Rothenberg; Sanjai Narain; United States. Advanced Research Projects Agency.]. The RAND Advanced Simulation Language project's declarative modeling formalism (DMOD) / Jeff Rothmnberg, Sanjal Narain.

"Prepared for the DoD's Advatcd Reaearoh Projects Agency," "MRARPA." Includes bibliographlial references. ISBN 1, United States-Anned Forat-Tramportation. Trasportatknu Military-Computer simulation. Digital. The RAND Advanced Simulation Language Project's Declarative Modeling Formalism (DMOD) Author: Jeff Rothenberg Subject: This report discusses research by the RAND Advanced Simulation Language (RASL) project.

The report presents an in-depth description of the Declarative MODeling formalism (DMOD) that was developed by the RASL project. Created Date. The RAND Advanced Simulation Language Project's Declarative Modeling Formalism (DMOD) A Review of Strategic Mobility Models and Analysis Prototyping as Modeling: What is Being Modeled.

A "Propagative" Approach to Sensitivity Analysis The RAND Advanced Simulation Language Projects Declarative Modeling Formalism (DMOD) discusses research by the RAND Advanced Simulation Language (RASL) project.

The book. The Rand Advanced Simulation Language Projects Declarative Modeling Formalism; Seller Inventory APG More information about this seller Contact this seller. Book Description Penguin Classics. Seller Inventory Book Description Penguin Classics, Never used!. Moby-dick: Or, The Whale (penguin Classics Deluxe Edition) Brand New!.

Paperback or Softback. Researchers frequently require a quantitative understanding of the likely consequences of different actions before they can advise decisionmakers and design effective policies.

RAND develops and uses statistical, econometric, and other exploratory models and simulations to analyze the potential outcomes of different policies in a range of areas such as transportation usage, health care. The motivation of the paper is to provide a simple and effective modeling formalism for object-oriented simulation, whose importance is now growing under the Industry paradigm.

The OOEG modeling formalism presented in the paper is an extension of the Event-Based modeling Formalism. The RAND Advanced Simulation Language Project's Declarative Modeling Formalism (DMOD) Distributed Problem Solving for Air Fleet Control: Framework and Implementations Knowledge-Based Simulation: An Interim Report The RAND Advanced Simulation Language Projects Declarative Modeling Formalism (DMOD) the RAND Advanced Simulation Language (RASL) project.

The objective of this research project. The RAND Advanced Simulation Language Projects Declarative Modeling Formalism (DMOD) by the RAND Advanced Simulation Language (RASL) project. The objective of this research project. The RASL project is researching new modeling techniques that will allow simulation and planning to be performed in an integrated fashion, using a single, underlying model of the strategic mobility.

To construct complex models, in particular models involving conditional activations, it is important to understand the formalism on which Activate is based upon.

This is also essential for understanding important features of the tool such as synchronism. " Chapter 1 Basic Simulation Modeling 1 jl.l The Nature of Simulation 1:; Systems, rvIodels, and Simulation 3./ Discrete-Event Simulation ', 7 Time-Advance Mechanisms S Components and 'Organization of a Discrete-Event Simulation Model 10 J Simulation of a Single-Server Queueing System 2 The modelling and simulation process 6 Figure 7: Measurement data A number of Information Sources (either explicit in the form of data/model/knowledge bases or implicit in the user’s mind) are used during the process: 1.

A Priori Knowledge: in deductive modelling, one starts from general principles Œsuch as mass, energy, momentum conservation laws and constraintsŒ and deduces specic. Simile is billed as a “visual modelling environment”, meaning that models are developed diagrammatically (as opposed to writing lines of text, as in a programming language or a simulation language).

However, a more fundamental feature of Simile is that it is a declarative modelling environment. In a sense, Simile’s visual modelling. 2. A quick description of the MGS formalism. The MGS project aims at developing a framework dedicated to the modeling and simulation of (DS) 2. It is inspired by the computational models described above.

MGS is a classical declarative language that has been extended with two structures described below. Topological collections.

The report presents an in-depth description of the Declarative MODeling formalism (DMOD) that was developed by the RASL project. DMOD can be thought of as an attempt to formulate a logical description of the event-scheduling view of discrete-event simulation. Modeling formalisms offer several advantages over non formal methods in the representation of simulation models.

These advantages include a compact and rigorous notation. Models specified in a modeling formalism are also independent of any simulation language.

The model definition capabilities provided by DEVSLib are similar to the ones in the simulation environments specifically designed for supporting the DEVS formalism. The main additional advantage of DEVSLib is that it can be used together with other Modelica libraries in order to compose multi-domain and multi-formalism hybrid models.language has been designed to allow tools o generate t efficient simulation code automatically with the main objective to facilitate exchange of models, model libraries and simulation specifications.

It allows defining simulation models modularly and hierarchically and combining various formalisms xpressible in the moree general Modelica formalism.