Artificial Intelligence Techniques for Reusable Tactics Expert Systems

We will develop a general schema for naval warfare tactics representation using Artificial Intelligence (AI) and Expert System technology to capture the human decision processes. Since the representation and automatic execution of tactics is a complex problem we will take an integrated approach using a variety of AI techniques. These techniques include knowledge-based representations (rules, objects), case-based reasoning, and intelligent entities, techniques we have used with much success in previous projects. We will use an object-oriented (00) paradigm to make the tactics knowledge highly portable and reusable across different simulations. The primary goal is implementation of portable tactics expert systems for use with different simulations. The general nature of the schema will be demonstrated by an investigation of several domains, and prototype implementations in two. We will devise a method of compiling the knowledge in the general representation schema into a highly efficient runtime form for rapid execution, which can be easily hosted on different platforms and readily interfaced to existing simulations.