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Demonstration of multi-agent potential fields in real-time strategy games

Published: 12 May 2008 Publication History

Abstract

Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while at the same time search for enemies and coordinate attacks to fight them down. Potential fields is a technique originating from the area of robotics where it is used in controlling the navigation of robots in dynamic environments. Although attempts have been made to transfer the technology to the gaming sector, assumed problems with efficiency and high costs for implementation have made the industry reluctant to adopt it. Our demo shows the use of Multi-agent Potential Fields (MAPF) in an open source RTS game. We will demonstrate both the potential fields as such, and the coordination of the agents.

References

[1]
M. Buro. ORTS --- A Free Software RTS Game Engine, 2007. http://www.cs.ualberta.ca/mburo/orts/URL last visited on 2008-01-25.
[2]
J. Hagelbäck and S. J. Johansson. Using multi-agent potential fields in real-time strategy games. In L. Padgham and D. Parkes, editors, Proceedings of the Seventh International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2008.
[3]
O. Khatib. Real-time obstacle avoidance for manipulators and mobile robots. The International Journal of Robotics Research, 5(1):90--98, 1986.
[4]
M. Mamei and F. Zambonelli. Motion coordination in the quake 3 arena environment: A field-based approach. In Proceedings of Autonomous Agents and Multi-Agent Systems (AAMAS). IEEE Computer Society, 2004.

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cover image ACM Conferences
AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
May 2008
116 pages

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 12 May 2008

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Author Tags

  1. ORTS
  2. RTS games
  3. artificial potential fields
  4. multi-agent bot

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  • Research-article

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AAMAS08
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