2_chapter.ppt - BEU 5173 ARTIFICIAL INTELLIGENCE CHAPTER 2 RULE BASED EXPERT SYSTEMS Session 1 2015/2016:W.R.W OMAR Course overview 2.1 Introduction on

2_chapter.ppt - BEU 5173 ARTIFICIAL INTELLIGENCE CHAPTER 2...

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BEU 5173 ARTIFICIAL INTELLIGENCE CHAPTER 2 RULE BASED EXPERT SYSTEMS Session 1 2015/2016:W.R.W OMAR
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Course overview 2.1 Introduction on what is knowledge 2.2 Rules as a knowledge representation technique 2.3 The main players in the expert system development team 2.4 Structure of a rule-based expert system 2.5 Fundamental characteristics of an expert system 2.6 Forward and backward chaining inference technique 2.7 MEDIA ADVISOR: a demonstration rule-based expert systems 2.8 Conflict resolution 2.9 Advantages and disadvantages of rule-based expert systems.
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2.1 What is knowledge ? is a theoretical or practical understanding of a subject or a domain. is also the sim of what is currently known, and apparently knowledge is power. Those who possess knowledge are called experts. Anyone can be considered a domain expert if he or she has deep knowledge and strong practical experience in a particular domain. The human mental process is internal, and it is too complex to be represented as an algorithm
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Expert system An expert system is a computer system that emulates the decision-making ability of a human expert. •Expert systems are designed to solve complex problems by reasoning about knowledge, like an expert, and not by following the procedure of a developer as is the case in conventional programming. •Expert Systems are developed by interviewing experts regarding their knowledge problem- solving methodology, then embedding the knowledge in the form of IF..THEN rules.
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An Expert System (ES) A knowledge-based information system Contain knowledge about a specific, complex application area Acts as an expert consultant to end users
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Experts are capable of expressing their knowledge in the form of rules for problem solving. IF the ‘traffic light’ is ‘green’ THEN the action is go IF the ‘traffic light’ is ‘red’ THEN the action is stop
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Components of an Expert System 1.The expert system 2. The system Development Knowledge Base Facts about a specific subject area Heuristics that express the reasoning procedures of an expert (rules of thumb) Software Resources An inference engine processes the knowledge and recommends a course of action User interface programs communicate with the end user Explanation programs explain the reasoning process to the end user
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The Expert System Knowledge Base Interface Engine User Interface Let us see them one by one briefly −
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Methods of Knowledge Representation Case-Based Knowledge organized in the form of cases Cases are examples of past performance, occurrences, and experiences
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  • Fall '19
  • Rosemehah Wan Omar

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