Improvements to autonomous forces through the use of genetic algorithms and rule base enhancement

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93Sep_Jacobs.pdf (3.24 MB)
Authors
Jacobs, Robert Alan.
Steiner, John Phillip.
Subjects
Genetic Algorithm
Autonomous Forces
NPSNET
Expert System
Rule Base Enhancement
Advisors
Bhargava, Hemant K.
Ramesh, Balasubramaniam
Pratt, David
Date of Issue
1985-12
Date
September 1993
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
This thesis discusses two approaches to enhancing the performance of intelligent autonomous agents in a computer combat simulation environment so that their performances more closely model the tactical decisions made by human players. The first approach a
Type
Thesis
Description
URI
https://hdl.handle.net/10945/39954
Series/Report No
Department
Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
Format
85 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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