Modeling Abstraction and Simulation Techniques

Abstract

This final report contains the joint work of both University of Massachusetts and Boston University who were each funded under separate contracts. The objective of this effort has been to develop and study three novel complementary directions that may be summarized as follows: 1. Extract information from the inherently slow simulation process of complex systems by exploiting new concurrent simulation techniques. 2. Exploit the hierarchical structure in multi-resolution models by decomposing them in ways which preserve statistical fidelity. 3. Explore the use of neural networks as complex simulation metamodels. The scope of the project has been to develop specific methodologies and algorithms based on the proposed new techniques that were developed and tested. In many cases, the benchmark problems studied are the same or extensions of the ones developed during our previous projects "Enabling Technologies for Real-Time Simulation" and "Real-Time Simulation Technologies for Complex Systems."

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADA411558

Entities

People

  • Christos G. Cassandras
  • Wei-bo Gong

Organizations

  • University of Massachusetts Boston

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Artificial Intelligence
  • Command And Control
  • Computational Science
  • Computer Networks
  • Computer Programming
  • Cybersecurity
  • Data Mining
  • Differential Equations
  • Hidden Markov Models
  • Information Science
  • Information Systems
  • Intrusion Detection
  • Neural Networks
  • Operating Systems
  • Probability Distributions
  • Stochastic Processes

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference