Expert Systems Lehigh Cse-Books Pdf

Expert Systems Lehigh CSE
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What is an expert system,An expert system uses knowledge specific to a. problem domain to provide expert quality to,perform in a specific application area. An expert system is an interactive computer, based decision tool that uses both facts and rules. to solve difficult decision problems based on,knowledge acquired from an expert. Applications of Expert Systems,Medical system for diagnosing blood.
disorders First used in 1979,DENDRAL Used to identify the. structure of chemical compounds,First used in 1965. Applications of Expert Systems,Configure VAX and PDP 11 series. First used in 1984,saved DEC 70M per year,PROSPECTOR. Used by geologists to,identify sites for drilling or.
mining First used in 1978,found a 100M ore deposit. Applications of Expert Systems,LITHIAN Gives advice to. archaeologists examining,stone tools,Medical system. for diagnosis of respiratory,conditions Fist used in 1979. Categories of Expert Systems, Most applications of expert systems will fall into one.
of the following categories,Interpreting and identifying. Predicting,Diagnosing,Monitoring,Debugging and testing. Instructing and training,Controlling,Why use Expert Systems. Human experts are not always,available An expert system can. be used anywhere any time,Human experts are not 100.
reliable or consistent,Human experts may not be good. at explaining decisions,Cost effective,Problems with Expert Systems. Limited domain,Systems are not always up,to date and do not learn. No common sense,Experts or engineers,needed to setup and. maintain system,Common characteristics,System performs at a level generally.
recognized as equivalent to a human expert in,System is highly domain specific. System can explain its reasoning,System Architecture. Usually expert systems are rule based, Extract expert knowledge in the form of rules facts. INFERENCE ENGINE,Domain specific,BASE CASE SPECIFIC INTERFACE. Expert System,System Architecture cont,The knowledge base is the collection of facts and.
rules which describe all the knowledge about the,problem domain. The inference engine is the part of the system,that chooses which facts and rules to apply when. trying to solve the user s query, The user interface is the part of the system which. takes in the user s query in a readable form and, passes it to the inference engine It then displays. the results to the user,The case specific data is working memory.
Development Process,Knowledge Representation,Traditionally the most popular form of. knowledge representation in expert systems is,production rules. Examples of rules,if condition P then conclusion C. if situation S then action A, if conditions C1 and C2 hold then conclusion C does. Inference example,Consider the following rules about diagnosing.
auto problems,Rule Condition Consequence, R1 If gas in engine and turns over Then problem spark plugs. R2 If not turns over and not lights on Then problem battery. R3 If not turns over and lights on Then problem starter. R4 If gas in tank and gas in carb Then gas in engine. Inference example cont,KNOWLEDGE INFERENCE ENGINE,CASE SPECIFIC.


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