ABSTRACT
The US Army needs robotic combat vehicles that can autonomously navigate the battlefield and carry out planned missions that necessarily embody unplanned details. The knowledge acquisition bottleneck refers to the difficulty of capturing knowledge for use in the system. Intelligent tutoring applications will realize systems of systems having the greatest macroeconomic utility because they truly enable societal advancement for uniform cost and are consistent with the American guarantee of equal access to quality education for all regardless of economic class. Expert compilers or systems have control mechanisms, explanation facilities, and at least one knowledge representation language with which to express the rules. An expert compiler written in pseudo-code transforms a very high-level language to pseudo-code. The rules for expert compilation are said to be cases. This is because they embody an enormous complexity of information that, while theoretically describable in the form of production rules, would be most difficult to acquire. Grammatical inference is the randomization of data.
