Cross-Paradigm Simulation Modeling: Challenges and Successes

Abstract

This paper addresses the broad topic area of cross-paradigm simulation modeling with a focus on the discrete-event, system dynamics and agent-based paradigms. It incorporates contributions from four panel members with diverse perspectives and areas of expertise. First, each paradigm is described and definitions are presented. The difference between the process-oriented worldview and the event-oriented worldview within discrete-event simulation modeling, and the importance of this difference for cross-paradigm modeling, are discussed. Following the definitions, discussion of cross-paradigm modeling is given for each pair of these paradigms, highlighting current challenges and early successes in these areas. The basic time-advance mechanisms used in simulation modeling are also discussed, and the implications of these mechanisms for each paradigm is explored.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA558539

Entities

People

  • Arnold Buss
  • Charles M. Macal
  • Sally C. Brailsford
  • Susan K. Heath

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Algorithms
  • Commerce
  • Computational Science
  • Computer Programs
  • Computer Science
  • Computer Simulations
  • Computers
  • Differential Equations
  • Dynamics
  • Electronic Mail
  • Engineers
  • Equations
  • Health Services
  • Operations Research
  • Simulations
  • Supply Chain

Fields of Study

  • Computer science
  • Psychology

Readers

  • Computational Modeling and Simulation
  • Theoretical Analysis.
  • Vector-Borne Disease and Entomology