Mmohils: A simpler approach to valid agents in human simulation studies

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. © 2008 IEEE.