Grail: A Framework for Adaptive and Believable AI in Video Games

Abstract

We describe a framework - called Grail - which aims at providing developers with tools for implementing AI in games. There is a whole variety of games and the role of AI in them can vary from case to case. Thus, the main challenge is to create a system allowing for meeting various design goals with relatively easy to use interfaces. We present the conceptual architecture of Grail and algorithms chosen by us to cover a wide spectrum of use cases: Planning, Utility System, Simplified Games with Tree Search and scripting. We believe that together they fulfill the requirements of a flexible AI engine.