Developing close combat behaviors for simulated soldiers using genetic programming techniques.
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.
- Research Organization:
- Sandia National Laboratories
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 918361
- Report Number(s):
- SAND2003-2928
- Country of Publication:
- United States
- Language:
- English
Similar Records
High resolution combat simulations to support training for close combat light applications
Explaining weapons proliferation: Going beyond the security dilemma
Perspectives on strategic defense
Conference
·
Thu Jun 14 00:00:00 EDT 1990
·
OSTI ID:6943789
Explaining weapons proliferation: Going beyond the security dilemma
Technical Report
·
Fri Jul 01 00:00:00 EDT 1994
·
OSTI ID:678997
Perspectives on strategic defense
Book
·
Wed Dec 31 23:00:00 EST 1986
·
OSTI ID:6294158