1. Search the Internet to find three applied expert systems in one or several business
functional areas in which you have a strong interest. Compare their purposes, complexity,
comknowledge representation, and the tool
...
1. Search the Internet to find three applied expert systems in one or several business
functional areas in which you have a strong interest. Compare their purposes, complexity,
comknowledge representation, and the tools with which they were constructed (shells or
programming languages).
The expert systems I find out from the internet source are as follows:
a. MYCIN: It is a rule based ES that diagnoses bacterial infections of the blood. It helps to find
out about 100 causes bacterial infections which allows system to recommend the effective
drug prescriptions. It finds out cause of the bacteria by asking the questions and backward
chaining through a rule base of about 500 rules. Users can request the rephrasing of questions
and user types are automatically fixed. Questions are asked when more data are needed and if
the data cannot be provided then system ignores the relevant rules. Controlled test proved it
to be equally compared to the human specialists. Being one of the old Expert System one of
the oldest programming language LISP was used. I tried to check the updates but could not
find about the new one.
b. CPEST: CPEST is an expert system for managing pests and diseases of coffee in a
developing country. Graphical user interface used in CPEST not only help the farmer in
inputting information but also give them visual clues, such as pictures of a pest at different
stages of development. System consisted rule set of 150 production rules. CPEST was built in
wxCLIPS, a high-level programming language for constructing expert systems. CPEST uses
forward chaining reasoning mechanism.
c. Customer Support at Logitech: It is one of the largest vendors of mouse devices and web
cameras in world. It has so many design and products that it developed the interactive
knowledge portal to provide Web-based self-support customer support to its QuickCam
customer in North America. It allows the user to ask the question or describe problem in
natural language and perform intelligent conversation until it gets all the information needed
and gives the decision. It has noHold knowledge platform so it feels like human world is
interacting to a customer. I could not find out the Programming language used.
2. Develop a semantic network for the given information.
The Semantic network for the given information is given below:
[Show More]