AI Fundamentals

Building an expert system's knowledge base involves eliciting knowledge from domain experts, encoding that knowledge into rules or representations, testing the resulting rule base for accuracy, and integrating or reconciling knowledge drawn from multiple sources — a process known as knowledge fusion. This step ensures that disparate pieces of expert knowledge are combined coherently into a single usable knowledge base, unlike the other listed options, which have no established role in expert system development.