Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102917
Title: Towards believable resource gathering behaviours in real-time strategy games with a memetic ant colony system
Authors: Lim, Meng-Hiot
Chen, Xianshun
Ong, Yew Soon
Feng, Liang
Chen, Caishun
Ho, Choon Sing
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2013
Source: Chen, X., Ong, Y. S., Feng, L., Lim, M. H., Chen, C., & Ho, C. S. (2013). Towards Believable Resource Gathering Behaviours in Real-time Strategy Games with a Memetic Ant Colony System. Procedia Computer Science, 24, 143-151.
Series/Report no.: Procedia computer science
Abstract: In this paper, the resource gathering problem in real-time strategy (RTS) games, is modeled as a path-finding problem where game agents responsible for gathering resources, also known as harvesters, are only equipped with the knowledge of its immediate sur- roundings and must gather knowledge about the dynamics of the navigation graph that it resides on by sharing information and cooperating with other agents in the game environment. This paper proposed the conceptual modeling of a memetic ant colony system (MACS) for believable resource gathering in RTS games. In the proposed MACS, the harvester's path-finding and resource gathering knowledge captured are extracted and represented as memes, which are internally encoded as state transition rules (mem- otype), and externally expressed as ant pheromone on the graph edge (sociotype). Through the inter-play between the memetic evolution and ant colony, harvesters as memetic automatons spawned from an ant colony are able to acquire increasing level of capability in exploring complex dynamic game environment and gathering resources in an adaptive manner, producing consistent and impressive resource gathering behaviors.
URI: https://hdl.handle.net/10356/102917
http://hdl.handle.net/10220/19158
DOI: 10.1016/j.procs.2013.10.037
Rights: © 2013 The Authors. This paper was published in Procedia Computer Science and is made available as an electronic reprint (preprint) with permission of the authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.1016/j.procs.2013.10.037]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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