A car engine has a fault. The car mechanic uses an expert system to try to find the solution to the fault.
Expert systems are computer applications which embody some non-algorithmic expertise for solving certain types of problems.
Explanation:
- In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
- An expert system is an AI software that uses knowledge stored in a knowledge base to solve problems that would usually require a human expert thus preserving a human expert's knowledge in its knowledge base
- The expert system works by providing solutions to problems through the reasoning that is at the level of human. but they are much faster to provide solutions to problems, and they use symbols to explain the solutions. Most expert systems are production systems which have at their heart the Rete algorithm
Three features that should be included in the expert system to make it easy for the car mechanic to use are :
- Goal driven reasoning or backward chaining - an inference technique which uses IF THEN rules to repetitively break a goal into smaller sub-goals which are easier to prove;
- Coping with uncertainty - the ability of the system to reason with rules and data which are not precisely known;
- User interface - that portion of the code which creates an easy to use system.
