PPT-Expert System

Session 2 Rule Based Expert System By HNematzadeh What is knowledge 1 If you know the solution of a question you have the knowledge knowhow 2 Knowledge is a theoretical or practical understanding of a subject or a domain Knowledge is also the sum of what is currently known. The framework is based on the integration of two different knowledge representation formats The inte gration consists of the Rulebase and the Casebased format s using the Blackboard This scheme uses both procedural and dec larative knowledge represe “Expert System Life Cycle …”:. (. Or what happened to expert systems research?). Daniel E. O’Leary. University of Southern California. ©2013. Outline. 1. AI/ES. Science. Accounting/Auditing. Intelligence. Content. Fuzzy . Expert System. Introduction: Fuzzy Expert System. An expert might say, “ Though the power transformer is . slightly. overloaded, I can keep this load for . a . while”.. By James Jennings. Introduction. . What is an Expert system?. expert system. is a computer system that emulates the decision-making ability of a human . expert. . Four . interactive roles form the activities of the expert system: . Eddie Lai. History. 1950s – scientists tried to use computers for “probabilistic reasoning and statistical pattern recognition”. 1970s – realized that physicians do not make decisions based on probability or patterns. SESSION 1. Introduction to Knowledge-based Intelligent Systems. By: . H.Nematzadeh. What is intelligence?. Intelligence is the ability to think and understand instead of doing things by instinct or automatically. (Essential English Dictionary, Collins, London, 1990). . IE 469 Manufacturing Systems. 4. 69. . صنع . نظم . التصنيع. Outline. Introduction to Expert Systems (ES). Components of an ES. Building an ES. Implementations/References. 2. Introduction. and. Expert Systems. ARTIFICIAL INTELLIGENCE (AI). is the science of. R. L . . Being able . to. Ability to. solve a . problem. Comparing a DSS to Artificial Intelligence. Decision Support System (DSS). Leroy Garcia. 1. Definition of AI. Artificial Intelligence is . the branch of computer science that is concerned with the automation of intelligent behavior. (Luger, 2008). . 2. Different Approaches to AI. Can incorporate Neural, Genetic and Fuzzy Components. Many expert systems are based on rules. Expert Systems can perform many functions. Rules can be fuzzy, quantum, modal, neural, Bayesian, etc.. Special inference methods may be used. Expert System for Homeopathic Glaucoma Treatment SEHO ALONSO-AMO A PIREZ G LOPEZ GOMEZ AND de lnformitica--Universidad Politrcnica de Madrid Campus de Montegancedo--Boadilla del Monte Madrid Spain art I DT LO rELE CTE -i EC 2 11 33t-fCq -u nUCir aol0 N L- - DEPARTMENT OF THEi AIR FORCEAIR UNWIERSITYAIR FORCE INSTITUTE OF YECI-MOLOGYWrighi-Patterson Air Force Base OhioAFIT/GEM/LSM/88S-9OTICSELE Long-term Expert System Diagnosis and TreatmentAhmad Mrouf Islam Albatish Msbah MosaDepartment of Information TechnologyFaculty of Engineering Information TechnologyAl-Azhar UniversityGaza Palestinea III YEAR VI. SEM. Presented by,. . Ms. M. . Rupa. , . AP/CSE,JCTCET. Motivation & Objectives. Utilization of computers to deal with knowledge. Quantity of knowledge increases rapidly. Knowledge might get lost if not captures.