Rule-based Knowledge(Expert) Systems eie426-knowledge-systems-0809. ppt 2021/1/27 EIE426-AICV
2021/1/27 EIE426-AICV 1 Rule-based Knowledge (Expert) Systems eie426-knowledge-systems-0809.ppt
Contents a What is knowledge? Rules as a knowledge representation technique The main players in the development team Structure of a rule- based expert system a Characteristics of an expert system Forward chaining and backward chaining Conflict resolution What is uncertainty? Certainty factors theory and evidential reasoning 2021/1/27 EIE426-AICV
2021/1/27 EIE426-AICV 2 Contents ◼ What is knowledge? ◼ Rules as a knowledge representation technique ◼ The main players in the development team ◼ Structure of a rule-based expert system ◼ Characteristics of an expert system ◼ Forward chaining and backward chaining ◼ Conflict resolution ◼ What is uncertainty? ◼ Certainty factors theory and evidential reasoning
What is knowledge? a Knowledge is a theoretical or practical understanding of a subject or a domain Knowledge is also the sum 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(of both facts and rules) and strong practical experience in a particular domain. The area of the domain may be limited. In general, an expert is a skilful person who can do things other people cannot 2021/1/27 EIE426-AICV
2021/1/27 EIE426-AICV 3 What is knowledge? ◼ Knowledge is a theoretical or practical understanding of a subject or a domain. Knowledge is also the sum 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 (of both facts and rules) and strong practical experience in a particular domain. The area of the domain may be limited. In general, an expert is a skilful person who can do things other people cannot
The human mental process is internal, and it is too complex to be represented as an algorithm However, most experts are capable of expressing their knowledge in the form of rules for problem solving F the traffic light is green then the action is go F the traffic light is red then the action is stop 2021/1/27 EIE426-AICV
2021/1/27 EIE426-AICV 4 ◼ The human mental process is internal, and it is too complex to be represented as an algorithm. However, most 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
Rules as a knowledge representation technique a The term rule in Al, which is the most commonly used type of knowledge representation, can be defined as an IF-then structure that relates given information or facts in the IF part to some action in the THEn part. a rule provides some description of how to solve a problem. Rules are relatively easy to create and understand Any rule consists of two parts: the IF part, called the antecedent (premise or condition) and the ThEn part called the consequent (conclusion or action) 2021/1/27 EIE426-AICV
2021/1/27 EIE426-AICV 5 Rules as a knowledge representation technique ◼ The term rule in AI, which is the most commonly used type of knowledge representation, can be defined as an IF-THEN structure that relates given information or facts in the IF part to some action in the THEN part. A rule provides some description of how to solve a problem. Rules are relatively easy to create and understand. ◼ Any rule consists of two parts: the IF part, called the antecedent (premise or condition) and the THEN part called the consequent (conclusion or action)