Improving Computational Efficiency in Context-Based Reasoning Simulations

Abstract

This thesis describes a method for improving Computer Generated Forces (CGF) simulations by extending the Context-Based Reasoning (CxBR) element of Situation Interpretation Metrics (SIMs) as a way to improve the context transition process and overall efficiency. To effectively cope with a large number of possible choices while still exhibiting realistic tactical decision making, the CxBR framework requires extension of SIMs to allow representation of a more diverse set of situations. This approach allows for more effective duplication of human tactical decision making while also preserving the benefits of the competing context concept. By extending the SIMs and more effectively interpreting them) the occurrence of ambiguous context transitions would be significantly less than it currently is) making it possible to significantly reduce the computational needs of the simulation while at the same time improving overall realism. The approach to this problem is described and test results are presented.

Notes

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Thesis Completion

2003

Semester

Fall

Advisor

Gonzalez, Avelino J.

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Degree Program

Computer Engineering

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

Format

Print

Identifier

DP0021797

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

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