Cognitive Model Exploration and Optimization: A New Challenge for Computational Science

Abstract

Parameter space exploration is a common problem tackled on large-scale computational resources. The most common technique, a full combinatorial mesh, is robust but scales poorly to the computational demands of complex models with higher dimensional spaces such as those found in the cognitive and behavioral modeling community. To curtail the computational requirements, I have implemented two parallelized intelligent search and exploration algorithms, both of which are discussed and compared in this paper.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA553672

Entities

People

  • L. R. Moore Jr.

Organizations

  • Lockheed Martin

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Air Force Research Laboratories
  • Algorithms
  • Cognitive Science
  • Communities
  • Computational Science
  • Differential Equations
  • Engineering
  • High Performance Computing
  • Operating Systems
  • Partial Differential Equations
  • Psychology
  • Simulations
  • Space Exploration
  • Statistical Analysis
  • Systems Management
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Space