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Artificial Immune Systems

Artificial Immune Systems

Darryl Charles, Colin Fyfe, Daniel Livingstone, Stephen McGlinchey
Copyright: © 2008 |Pages: 30
ISBN13: 9781591406464|ISBN10: 1591406463|ISBN13 Softcover: 9781616926854|EISBN13: 9781591406488
DOI: 10.4018/978-1-59140-646-4.ch010
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MLA

Charles, Darryl, et al. "Artificial Immune Systems." Biologically Inspired Artificial Intelligence for Computer Games, edited by Darryl Charles, et al., IGI Global, 2008, pp. 150-179. https://doi.org/10.4018/978-1-59140-646-4.ch010

APA

Charles, D., Fyfe, C., Livingstone, D., & McGlinchey, S. (2008). Artificial Immune Systems. In D. Charles, C. Fyfe, D. Livingstone, & S. McGlinchey (Eds.), Biologically Inspired Artificial Intelligence for Computer Games (pp. 150-179). IGI Global. https://doi.org/10.4018/978-1-59140-646-4.ch010

Chicago

Charles, Darryl, et al. "Artificial Immune Systems." In Biologically Inspired Artificial Intelligence for Computer Games, edited by Darryl Charles, et al., 150-179. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59140-646-4.ch010

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Abstract

We now consider the problem of introducing more intelligence into the artificial intelligence’s responses in real-time strategy games (RTS). We discuss how the paradigm of artificial immune systems (AIS) gives us an effective model to improve the AI’s responses and demonstrate with simple games how the AIS work. We further discuss how the AIS paradigm enables us to extend current games in ways which make the game more sophisticated for both human and AI. In this chapter, we show how strategies may be dynamically created and utilised by an artificial intelligence in a real-time strategy (RTS) game. We develop as simple as possible RTS games in order to display the power of the method we use.

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