Flashcard: Expert System Inference Techniques — 10 carte

Bottleneck — key challenge?

Rule creation and problem representation

Expert systems — purpose?

Simulate human decision-making using rules and facts.

Inference types — mechanisms?

Forward, backward, mixed (graph traversal)

Core components of expert system?

Rules base, facts base, inference engine, user interface.

Expert system components?

Rules base, facts base, inference engine, UI

Main inference methods?

Forward chaining, backward chaining, mixed chaining.

Inference algorithms — similarity?

Graph traversal techniques.

Problem modeling — importance?

Key for effective reasoning, affects performance.

Uncertainty handling?

Probabilistic rules and facts.

Expert system applications?

Diagnosis, risk estimation, planning, knowledge transfer.