1. Expert Systems
F451 AS Computing

2. Expert Systems - Definition
Created from research into Artificial Intelligence – AI
Also known as knowledge based systems. Based on Facts & Rules.
A system that attempts to replicate a human expert in solving specific problems or making decisions

3. Expert System Components
Comprises of 3 things
Knowledge Base
Experts in the field are interviewed. Information collected from many sources. Information is entered into the knowledge base.
Inference Engine
Algorithms that interrogate the knowledge base.
HCI
Allows anyone to use system. Must be clear and easy to use – often Natural Language

4. Expert System - features
Limited area of expertise
Rule based
Can operate with uncertain data
Delivers reasoned advice

5. Expert Systems – main components
outputs
inputs
computer program
rules
facts

6. Expert systems - uses Medical diagnosis Fault diagnosis
Geological surveys
Social services
Industrial uses

7. Expert Systems – case studies and demos
ELSIE – 1990’s quantity surveying tool
For demos of the following expert systems, including:
Cessna Diagnostic & Repair Systems
Immigration and Naturalization Service
Environmental Compliance Self Appraisal
Weather Instrument Product Selector
State of Wisconsin - Public School Disciplinary Action Advisor
DriveRight Trip 500AL Hardware Installation Expert System

8. Expert Systems - benefits
Can be faster than human experts
Cost reduction over alternative diagnostics
High reliability possible
Consistent, rationalised decisions & results
Encapsulates and distributes expertise
Can be used as a repository of knowledge 

9. Expert Systems - Limitations
Can make mistakes and will not learn from them
Expert knowledge is hard to obtain. Systems work best when problem is clearly defined and rules are clearly stated
Can create a dearth of skills
Stifles creative processes and exception handling 