A Game AI production shell framework : generating AI opponents for geomorphic-isometric strategy games via modeling of expert payer intuition

One of the most challenging aspects of game AI implementation in computer games is in the production of artificial opponents that can demonstrate human-intuitive strategic skills. In this paper, the need and requirements for a quick and efficient method to capture these skills are identified. Based on these requirements, a framework for a game AI shell is proposed. A case study is presented to demonstrate the workability of the framework by employing a prototype shell to generate a game AI middleware for a tabletop strategy-base game.