Knowledge-based expert systems integrate a knowledge base and reducing computing technologies to improve and automate human activities.There are several reoccurring problems with the standard approach for developing knowledge-based expert systems that may prevent successful implementations.A knowledge-based expert system may not always work correctly if problems are discovered while the knowledge is still being gathered.Furthermore, once a knowledge-based expert system is in place, it could be difficult to maintain it with the necessary time and resources.
A suggested approach for extending the lifecycle of knowledge-based expert systems can integrate a wide range of suggestions to produce a more efficient methodology.Although these techniques are frequently employed in other fields, knowledge-based expert systems have not generally adopted them during their lifetime.A container-loading knowledge-based expert system was utilized to test the principles in the suggested technique.
The objective of this investigation is to study the contributions made to improving the lifetime of knowledge-based expert systems.