Designing a Massively Multiplayer Online Game / Research Testbed Featuring AI-Driven NPC Communities

Authors

  • Michael Zyda University of Southern California GamePipe Laboratory
  • Marc Spraragen University of Southern California GamePipe Laboratory
  • Balki Ranganathan University of Southern California GamePipe Laboratory
  • Bjarni Arnason University of Southern California GamePipe Laboratory
  • Peter Landwehr CASOS group, Carnegie Mellon University

Keywords:

serious games, artificial intelligence

Abstract

Massively Multiplayer Online Games (MMOGs), in their aspect as online communities, represent an exciting opportunity for studying social and behavioral models.  For that purpose we have developed Cosmopolis, a free MMOG containing several key research-oriented features.  First, Cosmopolis consists of an outer game for larger-scale social modeling, as well as a set of subgames suitable for tightly-controlled sandbox-style experiments, all allowing a high level of data logging configuration and control by researchers.  Also, Cosmopolis’s world model incorporates configurable, AI-driven non-player character communities, as a means of researching interactions between individuals and societies

Downloads

Published

2010-10-10

How to Cite

Zyda, M., Spraragen, M., Ranganathan, B., Arnason, B., & Landwehr, P. (2010). Designing a Massively Multiplayer Online Game / Research Testbed Featuring AI-Driven NPC Communities. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 6(1), 108-111. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/12387