SCAIL: An integrated Starcraft AI system

Jay Young, Fran Smith, Christopher Atkinson, Ken Poyner, Tom Chothia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

We present the work on our integrated AI system SCAIL, which is capable of playing a full round of the Real-Time Strategy game Starcraft. Our system makes use of modern AI techniques such as particle filtering, on-line machine learning, drive-based motivation systems and artificial emotions, used to find novel structure in the dynamic playing environment, which is exploited by both high and low-level control systems. We employ a principled architecture, capable of expressing high level goal-directed behaviour. We provide an overview of our system, and a comparative evaluation against the in-game AIs of Starcraft, as well as thirteen third party systems. We go on to detail how the techniques and tools we introduce provide advantages to our system over the current state-of-the-art, resulting in improved performance when competing against those systems.

Original languageEnglish
Title of host publication2012 IEEE Conference on Computational Intelligence and Games, CIG 2012
Pages438-445
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012 - Granada, Spain
Duration: 11 Sep 201214 Sep 2012

Conference

Conference2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012
Country/TerritorySpain
CityGranada
Period11/09/1214/09/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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