Explain phases of expert system.
Answers
Nine Phases of ESDLC. Knowledge Representation Phase: Representing key concepts from the domain, and interrelationships between these concepts, using formal representation methods. Knowledge ImplementationPhase: Coding the formalized knowledge into a working prototype.
Stage # 1. Identification:
Before we can begin to develop an expert system, it is important to describe, with as much precision as possible, the problem which the system is intended to solve. It is not enough simply to feel that an expert system would be helpful in a certain situation; we must determine the exact nature of the problem and state the precise goals which indicate exactly how the expert system is expected to contribute to the solution.
Stage # 2. Conceptualisation:
Once it has been identified for the problem an expert system is to solve, the next stage involves analysing the problem further to ensure that its specifics, as well as generalities, are understood.
Stage # 3. Formalisation (Designing):
In the preceding stages, no effort has been made to relate the domain problem to the artificial intelligence technology which may solve it. During the identification and formalization stages, the focus is entirely on understanding the problem.
Stage # 4. Implementation:
During the implementation stage the formalised concepts are programmed into the computer which has been chosen for system development, using the predetermined techniques and tools to implement a ‘first-pass’ (prototype) of the expert system.
Stage # 5. Testing (Validation, Verification and Maintenance):
The chance of prototype expert system executing flawlessly the first time it is tested are so slim as to be virtually non-existent. A knowledge engineer does not expect the testing process to verify that the system has been constructed entirely correctly. Rather, testing provides an opportunity to identify the weaknesses in the structure and implementation of the system and to make the appropriate corrections.