Download Practical 1 - Introduction to Expert System

Practical #1 – Expert System
Yeni Herdiyeni
Computational Intelligence Lab
Dept of Computer Science, IPB
September, 2007
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Contact Me
• Office: Computational Intelligence Lab, Dept of
Computer Science, IPB. - Jl. Raya Darmaga
Bogor.
• Email : yeni_herdi@ipb.ac.id;
yeni_herdi@ilkom.fmipa.ipb.ac.id;
yeniherdiyeni2006@yahoo.com
• URL : http://www.ilkom.fmipa.ipb.ac.id/yeni
• Office Hour : Wednesday 8 am – 2 pm
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Decision Support Technologies
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Management Support Systems (MSS)
Decision Support Systems (DSS)
Group Support Systems (GSS)
Enterprise (Executive) Information Systems (EIS)
Enterprise Resource Planning (ERP) and SupplyChain Management (SCM)
Knowledge Management Systems
Knowledge-Based Decision Support: AI and Expert
Systems (ES)
Artificial Neural Networks (ANN)
Hybrid Support Systems
Intelligent DSS
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Knowledge-Based Decision Support: Artificial
Intelligence and Expert Systems
• Managerial Decision Makers are
Knowledge Workers
• Use Knowledge in Decision Making
• Accessibility to Knowledge Issue
• Knowledge-Based Decision Support:
Applied Artificial Intelligence
• Area:Expert System, Data mining
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Using the Knowledge Base
Computer
Inputs
Outputs
Knowledge
Base
Inferencing
Capability
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Knowledge Representation Techniques
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Object-attribute-value triples
Rules : WINEXSYS
Semantic network : CLIPS
Frames : KAPPA-PC
Logic : PROLOG
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Basic structure of a rule-based expert system
Knowledge Base
Database
Rule: IF-THEN
Fact
Inference Engine
Explanation Facilities
User Interface
User
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Rule-based system operation
Knowledge Base
IF Ball’s Color is Red
THEN I Like the Ball
Q : Ball’s color ?
IF I Like the Ball
THEN I Will buy the Ball
A : Red
Working Memory
Ball’s Color is Red
I Like the Ball
I Will Buy the Ball
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