knowledge engineering Examples taken from life insurance expert:
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
Write prolog
RULE 1 if age is old and gender is male and smoker is no then risk is low; RULE 2 if age is middle and gender is male and smoker is yes then risk is high; RULE 3 if age is young and gender is female and smoker is no then risk is low;
![knowledge engineering
• Examples taken from life insurance expert:
Example
Age
Smoker?
Gender
Risk
1
Young
No
Female
Low
2
Middle
Yes
Male
High
3
Old
No
Male
Low
knowledge engineering
• The following rules show how the induction
technique generates general rules from specific
examples:
RULE 1 if age is old
and gender is male
and smoker is no
then risk is low;
RULE 2 if age is middle
and gender is male
and smoker is yes
then risk is high:
Small Expert System Project
• Consider the problem taken from life insurance
expert (slides 25&26). Write a complete
PROLOG program that could support the
decision of a life insurance expert. Add
necessary facts and rules to produce a well
designed knowledge base.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F270a32e0-d953-461b-bbd9-ea8addd1a5ef%2Fc8504cc9-548b-4713-85ba-3d42bb36c8bb%2F8lm917k_processed.jpeg&w=3840&q=75)
Transcribed Image Text:knowledge engineering
• Examples taken from life insurance expert:
Example
Age
Smoker?
Gender
Risk
1
Young
No
Female
Low
2
Middle
Yes
Male
High
3
Old
No
Male
Low
knowledge engineering
• The following rules show how the induction
technique generates general rules from specific
examples:
RULE 1 if age is old
and gender is male
and smoker is no
then risk is low;
RULE 2 if age is middle
and gender is male
and smoker is yes
then risk is high:
Small Expert System Project
• Consider the problem taken from life insurance
expert (slides 25&26). Write a complete
PROLOG program that could support the
decision of a life insurance expert. Add
necessary facts and rules to produce a well
designed knowledge base.
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