4. components architecture of expert systems
- 1. Components/ Architecture of Expert Systems Presented by Md. Monir Ahammod 16CSE061 Department of Computer Science and Engineering BSMRSTU Supervised by Md. Nesarul Hoque Assistant Professor, Department of Computer Science and Engineering BSMRSTU
- 2. Contents What is Expert Systems ? Components of Expert Systems. 1
- 3. What is Expert Systems ? An expert system is a computer program that is designed to solve complex problems and to provide decision-making ability like a human expert. It acquires relevant knowledge from its knowledge base, and interprets it as per the user’s problem. It uses both facts and heuristics like a human expert. These systems are designed for a specific domain, such as medicine, science, etc. 2
- 4. Components of Expert Systems 3
- 5. Components of Expert Systems (Cont..) There are 5 Components of expert systems: Knowledge Base. Inference Engine. Knowledge acquisition and learning module. User Interface. Explanation module. 4
- 6. Knowledge Base The knowledge base in an expert system represents facts and rules. It contains knowledge in specific domains along with rules in order to solve problems. It forms procedures that are relevant to the domain. 5
- 7. Inference Engine The most basic function of the inference engine is to acquire relevant data from the knowledge base. Interpret it, and to find a solution as per the user’s problem. Inference engines also have explanationatory and debugging abilities. 6
- 8. Knowledge acquisition and learning module This component functions to allow the expert systems to acquire more data from various sources. Store it in the knowledge base. 7
- 9. User Interface This component is essential for a non-expert user to interact with the expert system . It also helps to find solutions. 8
- 10. Explanation module As the name suggests, this module helps in providing the user with an explanation of the achieved conclusion. 9
- 11. Thanks All 10