Accession Number:

ADA539438

Title:

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

Descriptive Note:

Technical paper

Corporate Author:

LOCKHEED MARTIN SYSTEMS MANAGEMENT MESA AZ

Personal Author(s):

Report Date:

2010-01-01

Pagination or Media Count:

11.0

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.

Subject Categories:

  • Computer Programming and Software
  • Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE