Say “Sul Sul!” to SimSim, A Sims-Inspired Platform for Sandbox Game AI

Authors

  • Megan Charity New York University
  • Dipika Rajesh New York University
  • Rachel Ombok New York University
  • L. B. Soros New York University

Abstract

This paper proposes environment design in the life simulation game The Sims as a novel platform and challenge for testing divergent search algorithms. In this domain, which includes a minimal viability criterion, the goal is to furnish a house with objects that satisfy the physical needs of a simulated agent. Importantly, the large number of objects available to the player (whether human or automated) affords a wide variety of solutions to the underlying design problem. Empirical studies in a novel open source simulator called SimSim investigate the ability of novelty-based evolutionary algorithms to effectively generate viable environment designs.

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Published

2020-10-01

How to Cite

Charity, M., Rajesh, D., Ombok, R., & Soros, L. B. (2020). Say “Sul Sul!” to SimSim, A Sims-Inspired Platform for Sandbox Game AI. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 16(1), 182-188. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/7428