MMOHILS: a simpler approach to valid agents in human simulation studies

  • Authors:
  • Seth N. Hetu;Gary Tan

  • Affiliations:
  • National University of Singapore, Singapore;National University of Singapore, Singapore

  • Venue:
  • Proceedings of the 40th Conference on Winter Simulation
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

A novel technique for accurately and inexpensively simulating large numbers of people is introduced: Massively Multiplayer Online Human In the Loop Simulation (MMOHILS). This technique is applicable to certain simulations which would normally use AI-based agents to model human behavior, and its validation techniques are substantially simpler. A prototype for two types of MMOHILS (experimental and unannounced) is laid forth in this paper, with examples given from a current prototype in development for use in egress analysis.