Designing Expert Systems
Designing Expert Systems CS 681
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This 10 page Class Notes was uploaded by Leland Swift on Monday September 28, 2015. The Class Notes belongs to CS 681 at George Mason University taught by Gheorghe Tecuci in Fall. Since its upload, it has received 6 views. For similar materials see /class/215119/cs-681-george-mason-university in ComputerScienence at George Mason University.
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Date Created: 09/28/15
CS 681 Fall 2008 Designing Expert Systems summonow WMMW Gheorghe Tecuci tecucigmuedu httpllacgmuedul Learning Agents Center and Computer Science Department George Mason University 2008 Leaming Agents Center Overview gtI Class Introduction and Course s Objectives I Knowledge Society and Intelligent Systems I Building Expert Systems Classical Approaches Building Expert Systems Advanced Approaches I Assignments and Readings I 2008 Leaming Agents Center Good Afternoon Please tell us something about yourself to include Professional expertise experience Why are you taking this course Interests Hobbies Thoughts about Intelligent Systems 2008 Learning Agents Center Course Objectives The objective of this course is to present the principles and major methods for designing and constructing expert systems and to involve the students in expert systems research Major topics Classical Approaches to the Design and Development of Expert Systems Ontology Design and Development LearningOriented Knowledge Representation Problem Reduction and Solution Synthesis Modeling Expert s Reasoning Agent Teaching and Multistrategy Rule Learning MixedInitiative Problem Solving and Knowledge Base Refinement Tutoring Expert Problem Solving Knowledge Design Principles for Expert Systems Frontier Research Problems 2008 Learning Agents Center Course Objectives cont Link Expert Systems concepts to handson applications by building an actual system Learn about all the phases of building an expert system and experience them firsthand by using the Disciple development environment to build an actual system Assistant for the evaluation of the believabiity of web pages Disciple is one of the most advanced development environments for expert systems It has been developed in the Learning Agents Center of George Mason University and has been successfully used to build expert systems for a variety of domains 2008 Leaming Agents Center Course Organization and Grading Policy Course organization J In general classes will consist of three parts Theory Handson Project Project assignments will consist of incremental developments of the expert system and will be presented in class Grading Policy J Final Exam covering the theoretical aspects presented 50 December 9th 430 pm Assignments including course participation 50 2008 Leaming Agents Center Readings Lecture notes provided by the instructor required Additional papers required or recommended by the instructor Lecture Notes Availability The lecture notes to be used in a Tuesday class will be available by Monday evening It is not necessary to study the lecture notes before the class but it is very helpful to have them during the class 2008 Learning Agents Center Overview I Class Introduction and Course s Objectives gtI Knowledge Society and Intelligent Systems I Building Expert Systems Classical Approaches Building Expert Systems Advanced Approaches I Assignments and Readings I 2008 Leaming Agents Center Toward Knowledge Societies Knowledge Societies are societies Where knowledge is the primary production resource instead of capital and labor Human societies are rapidly evolving toward knowledge societies and an integrated global knowledge society because of the development of current information technologies that o No longer restrict knowledge societies to geographic proximity Facilitate sharing archiving and retrieving knowledge The success of any society lies in harnessing knowledge that has become the most important capital in the present age Knowledge Engineering the discipline for building knowledge systems taught in this course is a critical discipline in the Knowledge Societies UNESCO 2005 Toward Knowledge Societies httpunesdocunescoorgimages001 4001 4181 41843epdf 25 August 2008 Schreiber G et al Knowledge Engineering and Management The Common KADS Methodology MIT Press 2000 Paul A David and Dominique Foray Economic Fundamentals of the Knowledge Society Policy Futures In Education An e Journal 11 39 Special Issue Education and the Knowledge Economy January 2003 httpwww econstanfordedufacultyworkpswp02003pdf 25 August 2008 2008 Learning Agents Center