Problem Description: Expert System on business domain

Human experts are able to perform at a successful level because they know a lot about their areas of expertise. In Artificial Intelligent an Expert System uses knowledge specific to a problem area to provide Expert Quality performance in that application area. Generally, Expert System designers acquire this knowledge with the help of Domain Experts. As with skilled human, Expert Systems tend to be specialist, focusing on a narrow set of problems. Expert systems are built to solve a wide range of problems in domains such as medicines, mathematics, engineering, chemistry, geology and education.

You are required to develop a knowledge based system that serves as an information repository and consultant. Your system should be equipped with an interactive means to engage in a conversation with the user. This can be achieved by utilizing an Expert System Shell by your lecturers choice

Question

1.Knowledge Acquisition (Documentation)

-Explain the types/ Categories of Expert System

Example types

- Classification Systems

-Diagnosis Systems

-interpretation Systems

-Process Control Systems

-Design Systems

-Scheduling and Planning Systems

-Generation of Options Systems

-Monitoring Systems

-Instruction Systems

-Prediction Systems

-Debugging and Repair Systems

Example resources:

4.6 TYPES / CATEGORIES OF EXPERT SYSTEMS As mentioned above, expert systems are considered the prized production of Artificial Intelligence for its multiple uses and contribution to the society. In the following paragraphs, the team have highlighted the generic areas of expert systems applications and its respective explanations, 4.6.1 CLASSIFICATION SYSTEMS In this particular expert system, it is able to identify an object based on stated characteristics mentioned or inputted by users. 4.6.2 DIAGNOSIS SYSTEMS A diagnosis system is able to infer malfunction or disease from observable data, it does so by comparing data from a continually observed system to prescribe behaviour. One of its example is MYCIN, which is used to diagnose blood infection. 4.6.3 INTERPRETATION SYSTEMS This system is able to do analysis of data and with that output, determine their meaning. For example, PROSPECTOR, which interprets geological data as potential evidence for mineral deposits. 4.6.4 PROCESS CONTROL SYSTEMS In this system, it is able to control a physical process based on monitoring, It governs the behaviour of a system by anticipating problems, planning solutions and monitoring actions. One of its most notable example is VENTILATOR MANAGEMENT ASSISTANT which scrutinised the data from hospital breathing-support machines, and provided accounts of the