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module.4.session.3.monday

module.4.session.3.monday - Module4: Session3:ExpertSystems...

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Module 4: Business Applications of AI Session 3: Expert Systems
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Learning Walking
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What comes to mind when you hear the term  “artificial intelligence”? What do these things have in common?
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The science and engineering of making machines  do things that are typically thought of as human  behaviors Learning Adaptation Language and Speech Reasoning Complex decision making
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Put decision into effect; allocate resources; control Source: Haag, Cummings, & Phillips, 2006 Conceive alternatives; select criteria Use criteria to evaluate and choose among alternatives Collect information; identify problem Tools for recording options and criteria Tools for comparing and contrasting alternatives and analyzing the relative importance of different criteria How do DSS help? Where in this process are  Decision Support Systems   most useful? Artificial Intelligence  tools help in the same  part of the process… Tools for identifying relevant alternatives & determining appropriate criteria Recommendations for selecting between options on the basis for complex criteria …but they help in different ways.
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Expert systems Neural networks Genetic algorithms Intelligent agents
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Expert Systems are AI systems that apply  structured reasoning capabilities (inferences) to  reach a conclusion Also called rule-based systems The systems are used to provide advice and/or  guidance for novices faced with the problem of  make a decision based on complex criteria 
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Customer Profile (Customer 2532) Years of Credit = 2 Credit Balance = $10,400 Annual Income = $35,000 Home Owner? = No Other Delinquent Accounts = 0 Number of Late Payments = 3 It is your first day on a new job as a credit analyst.  You  are given the following customer profile and asked to  approve or deny credit. Should your firm issue this person a credit card? What rule(s) did you use to decide?
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Expert System rules specify A set of conditions (IF ….) An action to be taken when the conditions are satisfied  (THEN…) IF Years of Credit < 3, AND Number of Late Payments > 2 THEN Approve Credit = NO [Deny Credit Card Application]
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Customer Profile (Customer 2332) Years of Credit = 9 Loan Balance = $2,400 Income = $52,000 Home Owner? = Yes Other Delinquent Accounts = 2 Number of Late Payments = 3 What decision do you reach if you apply your rule(s) to  evaluate this case?   Do you agree with that decision?  How would you change your rules to make “better”  decisions?
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Knowledge base (facts)  Provided by the individual user as they describe a  particular case or situation Production rules ("if.., then..") 
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