Developing close combat behaviors for simulated soldiers using genetic programming techniques.

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Description

Genetic programming is a powerful methodology for automatically producing solutions to problems in a variety of domains. It has been used successfully to develop behaviors for RoboCup soccer players and simple combat agents. We will attempt to use genetic programming to solve a problem in the domain of strategic combat, keeping in mind the end goal of developing sophisticated behaviors for compound defense and infiltration. The simplified problem at hand is that of two armed agents in a small room, containing obstacles, fighting against each other for survival. The base case and three changes are considered: a memory of positions ... continued below

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32 p.

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Pryor, Richard J. & Schaller, Mark J. October 1, 2003.

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Description

Genetic programming is a powerful methodology for automatically producing solutions to problems in a variety of domains. It has been used successfully to develop behaviors for RoboCup soccer players and simple combat agents. We will attempt to use genetic programming to solve a problem in the domain of strategic combat, keeping in mind the end goal of developing sophisticated behaviors for compound defense and infiltration. The simplified problem at hand is that of two armed agents in a small room, containing obstacles, fighting against each other for survival. The base case and three changes are considered: a memory of positions using stacks, context-dependent genetic programming, and strongly typed genetic programming. Our work demonstrates slight improvements from the first two techniques, and no significant improvement from the last.

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32 p.

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  • Report No.: SAND2003-2928
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/918361 | External Link
  • Office of Scientific & Technical Information Report Number: 918361
  • Archival Resource Key: ark:/67531/metadc888024

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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Creation Date

  • October 1, 2003

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Nov. 23, 2016, 3:22 p.m.

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Pryor, Richard J. & Schaller, Mark J. Developing close combat behaviors for simulated soldiers using genetic programming techniques., report, October 1, 2003; United States. (digital.library.unt.edu/ark:/67531/metadc888024/: accessed September 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.