Embedded noninteractive continuous bot detection

Multiplayer online computer games are quickly growing in popularity, with millions of players logging in every day. While most play in accordance with the rules set up by the game designers, some choose to utilize artificially intelligent assistant programs, a.k.a. bots, to gain an unfair advantage over other players. In this article we demonstrate how an embedded noninteractive test can be used to prevent automatic artificially intelligent players from illegally participating in online game-play. Our solution has numerous advantages over traditional tests, such as its nonobtrusive nature, continuous verification, and simple noninteractive and outsourcing-proof design. © 2008 ACM

Using Synthetic Vision for Autonomous Non-Player Characters in

In this paper, we discuss the role and utility of synthetic vision in computer games. We present an implementation of a synthetic vision module based on two viewports rendered in real-time, one representing static information and the other dynamic, with false colouring being used for object identification, depth information and movement representation. We demonstrate the utility of this synthetic vision module by using it as input to a simple rule-based AI module that controls agent behaviour in a first-person shooter game