New Generation of Artificial Intelligence for Real-Time Strategy Games

New Generation of Artificial Intelligence for Real-Time Strategy Games

Damijan Novak, Domen Verber
ISBN13: 9781466644908|ISBN10: 1466644907|EISBN13: 9781466644915
DOI: 10.4018/978-1-4666-4490-8.ch021
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MLA

Novak, Damijan, and Domen Verber. "New Generation of Artificial Intelligence for Real-Time Strategy Games." Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability, edited by Francisco Vicente Cipolla Ficarra, IGI Global, 2014, pp. 220-229. https://doi.org/10.4018/978-1-4666-4490-8.ch021

APA

Novak, D. & Verber, D. (2014). New Generation of Artificial Intelligence for Real-Time Strategy Games. In F. Cipolla Ficarra (Ed.), Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability (pp. 220-229). IGI Global. https://doi.org/10.4018/978-1-4666-4490-8.ch021

Chicago

Novak, Damijan, and Domen Verber. "New Generation of Artificial Intelligence for Real-Time Strategy Games." In Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability, edited by Francisco Vicente Cipolla Ficarra, 220-229. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4490-8.ch021

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Abstract

Artificial intelligence in computer games is still well behind academic artificial intelligence research. The computer power and memory resources have increased exponentially over the last few years and improved game artificial intelligence should not hinder the performance of the game anymore. Improvements of game artificial intelligence are necessary because an appropriate artificial intelligence for the more advanced players does not exist today. This chapter discusses artificial intelligence for real-time strategy computer games, which are ideal test beds for research on movement, tactic, and strategy. Open-source real-time strategy game development tools are presented and compared, and an enhanced combat artificial intelligence algorithm is proposed.

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