Problems with traditional Kbs: rule based expert systems Knowledge maintenance in many applications rules are interrelated(e.g.chained with each other) and the number of rules required are unmanageably large Results interpretation in many domains, the inference process can become complex, and it is difficult for users to understand or verify the SOlutions suggested by rule-based reasoningProblems with traditional KBS: rule￾based expert systems • Knowledge maintenance__ in many applications, rules are interrelated (e.g. “chained” with each other) and the number of rules required are unmanageably large • Results interpretation__ in many domains, the inference process can become complex, and it is difficult for users to understand or verify the solutions suggested by rule-based reasoning