SEPIA: A Scalable Game Environment for Artificial Intelligence Teaching and Research

Authors

  • Scott Sosnowski Case Western Reserve University
  • Tim Ernsberger Case Western Reserve University
  • Feng Cao Case Western Reserve University
  • Soumya Ray Case Western Reserve University

DOI:

https://doi.org/10.1609/aaai.v27i3.19006

Abstract

We describe a game environment we have developed that we call the Strategy Engine for Programming Intelligent Agents (SEPIA). SEPIA is based on real-time strategy games, but modified extensively to preferentially support the development of artificial agents rather than human play. Through flexible configuration options, SEPIA is designed to be pedagogically scalable: suitable for use at the undergraduate and graduate levels, and also as a research testbed. We also describe assignments and our experiences with this environment in undergraduate and graduate classes.

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Published

2013-07-14

How to Cite

Sosnowski, . S., Ernsberger, T., Cao, F., & Ray, S. (2013). SEPIA: A Scalable Game Environment for Artificial Intelligence Teaching and Research. Proceedings of the AAAI Conference on Artificial Intelligence, 27(3), 1592-1597. https://doi.org/10.1609/aaai.v27i3.19006