Masters Theses

Author

Alex J. Berry

Keywords and Phrases

First responders

Abstract

"First responder training is becoming ever more important in our world. Several techniques are currently being explored to train first responders in physical and virtual worlds. The First Responder Simulation and Training Environment is being developed to augment the physical training efforts. This environment has many different components including a gas model, virtual environment, sensor simulator, and human interface equipment. An addition being made to the system is autonomous agents to interact with the first responders. Genetic programming, an evolutionary computation technique, is being used to evolve agents to interact in the environment. Friendly, hostile and neutral agents are being evolved in a two dimensional grid environment. Expression and decision trees are used to represent the individuals being evolved. The terminals for the decision trees are analyzed for their effectiveness. Low selective pressure and high crossover versus mutation rate were found to produce good individuals. Genetic programming is successfully employed to generate high performance individuals in the environment"--Abstract, page iv.

Advisor(s)

Hilgers, Michael Gene
Tauritz, Daniel R.

Committee Member(s)

Hall, Richard H.

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Comments

This work was funded by the U.S. Army’s Tank-Automotive and Armaments Command (TACOM, grant #DAAE07-02-C-L068).

Publisher

University of Missouri--Rolla

Publication Date

Fall 2004

Pagination

ix, 32 pages

Note about bibliography

Includes bibliographical references (pages 29-31).

Rights

© 2004 Alex Jerome Berry, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Evolutionary computation
Intelligent agents (Computer software)
Virtual reality -- Technological innovations

Thesis Number

T 8705

Print OCLC #

62300867

Link to Catalog Record

Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b5406675~S5

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