What makes expert systems expensive and time-consuming to maintain?

The maintenance of expert systems can be particularly expensive and time-consuming because rules must be reprogrammed to account for changes in the environment. Expert systems operate based on a set of predefined rules and knowledge; when external conditions or underlying facts change, these rules may no longer apply. This necessitates updating the system to ensure it functions accurately and remains relevant. Each adjustment in rules requires careful analysis, testing, and implementation, which can be resource-intensive.

As environments evolve—whether due to technological advancements, market shifts, or changes in regulations—expert systems must be continually modified to reflect the current state of knowledge. Failing to keep the rule base updated can lead to incorrect conclusions or recommendations, diminishing the system's effectiveness and reliability. Thus, the need for ongoing modifications and the associated complexity contribute significantly to the overall cost and time commitment involved in maintaining expert systems.