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Application and Evaluation of Artificial Intelligence Algorithms for StarCraft

Application and Evaluation of Artificial Intelligence Algorithms for StarCraft
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Author(s): Luke Deshotels (University of Louisiana at Lafayette, USA)
Copyright: 2012
Pages: 27
Source title: Algorithmic and Architectural Gaming Design: Implementation and Development
Source Author(s)/Editor(s): Ashok Kumar (University of Louisiana at Lafayette, USA), Jim Etheredge (University of Louisiana at Lafayette, USA)and Aaron Boudreaux (University of Louisiana at Lafayette, USA)
DOI: 10.4018/978-1-4666-1634-9.ch006

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Abstract

This chapter will discuss several algorithms and techniques used in artificial intelligence that can be applied to StarCraft (Blizzard, 2009) and other similar real-time strategy (RTS) games. A significant section of the chapter is devoted to teaching the reader how to use the Brood War API (Heinermann, 2011), BWAPI. This API allows developers to create agents that can play StarCraft with or without human interaction. Each section after the tutorial introduces an algorithm or technique, explains the relevant concepts, shows an example of its implementation in StarCraft, and evaluates its performance and applications. The algorithms and techniques covered include swarm intelligence, gathering algorithms, expert systems, and hill climbing. The example implementations are kept simple to allow readers to follow along and implement them as practice.

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