PDF-Knowledge Acquisifion Detecting and correcting errors in rulebased expert systems an

PAZZANI AND CLIFFORD A BRUNK Department of Information and Computer Science University of California Itvine CA 92717 USA Received 3 October 1990 and accepted in revised form 8 February 1991 In this paper we argue that techniques proposed for combini. Even though we are familiar with several pr oblemsolving techniques in the real world sometimes many problems cannot be solved by a technique we are familiar with Surprisingly for some compli cated problems no straight forward solution technique is Bernard ABSTRACT A rulebased digital closed loop controller that incorporates fuzzy logic has been designed and implemented for the control of power on the 5MWt Massa chusetts Institute of Technology MIT Re search Reactor under both steadystate and 32 Ben Zorn. Microsoft Research. In collaboration . with:. Emery Berger and Gene Novark, . UMass - Amherst. Karthik Pattabiraman, UIUC. Vinod Grover and Ted . Hart, Microsoft . Research. Ben Zorn, Microsoft Research. 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. http://lslwww.epfl.ch/pages/embryonics/thesis/Chapter3.html. n. MAJ. p. p. p. MAJ. MAJ. p. p. p. MAJ. p. p. p. k. Itanium Quad Tukwila. Transistor Count: 2B. Cost: ~$100. Si Wafer with Area sufficient for. By: . H.Nematzadeh. ASSESSMENT. Midterm Exam = 8/20. Final Exam = 10/20. Research Paper = 2/20. - 20 minutes presentation of the selected . paper . (WORLDCOMP’10:. USA. , IEEE’11: . Detecting Variation. In populations or when comparing closely related species, one major objective is to identify variation among the samples. AKA, one of the main goals in genomics is to identify what genomic features make individuals/populations/species different. Can incorporate Neural, Genetic and Fuzzy Components. Expert Systems can perform many functions. Rules can be fuzzy, quantum, modal, neural, Bayesian, etc.. Special inference methods may be used. Concepts of Knowledge Representation: . . 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. 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. 5-1. Her and me are . gonna. go . shoping. for a Collie puppy and a yo-yo.. (There are 5 errors.). Learning Goal: . I can find the grammatical errors in the above statement.. Directions: Write the statement above correcting all errors.. Mirza Muhammad Waqar Expert/rule based classification 1 Contact: mirza.waqar@seecs.edu.pk Lecture Overview Image classification basics Image and feature spaces Supervised vs Unsupervised classification 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.