Rapid Development of Intelligent Agents in First/third-person Training Simulations via Behavior-based Control

摘要

First/third-person training simulations in virtual environments have become increasingly used; However, authoring intelligent virtual agents to populate these environments presents a large authorial burden. Our work focuses on building tools to enable rapid creation of intelligent agents for first/third-person game-like environments that enable users with no programming knowledge to develop interactive agents. This is made possible using an intuitive agent architecture known as behavior-based control combined with a user interface employing natural language-like agent specification and an interactive testing during agent development. We present the results of a study indicating that users with no programming experience can successfully design agents using our tool - defined as creating an agent that would carry out at least 80% of role-specific baseline behaviors - after only minimal training in the interface.