KNOWLEDGE BASED SYSTEMS

Slides:



Advertisements
Similar presentations
1 Knowledge Representation Introduction KR and Logic.
Advertisements

Presentation on Artificial Intelligence
CHAPTER 13 Inference Techniques. Reasoning in Artificial Intelligence n Knowledge must be processed (reasoned with) n Computer program accesses knowledge.
The Logic of Intelligence Pei Wang Department of Computer and Information Sciences Temple University.
Agents That Reason Logically Copyright, 1996 © Dale Carnegie & Associates, Inc. Chapter 7 Spring 2004.
Artificial Intelligence. Intelligent? What is intelligence? computational part of the ability to achieve goals in the world.
1 Knowledge Representation We’ve discussed generic search techniques. Usually we start out with a generic technique and enhance it to take advantage of.
Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall Chapter 7 Technologies to Manage Knowledge: Artificial Intelligence.
An Introduction to Artificial Intelligence. Introduction Getting machines to “think”. Imitation game and the Turing test. Chinese room test. Key processes.
4 Intelligent Systems.
Artificial Intelligence
Production Rules Rule-Based Systems. 2 Production Rules Specify what you should do or what you could conclude in different situations. Specify what you.
Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall Chapter Chapter 7: Expert Systems and Artificial Intelligence Decision Support.
EXPERT SYSTEMS Part I.
Chapter 11 Managing Knowledge. Dimensions of Knowledge.
SEA Side Software Engineering Annotations AAnnotation 7: Artificial Intelligence One hour presentation to inform you of new techniques and practices in.
What is AI? The exciting new effort to make computers thinks … machine with minds, in the full and literal sense” (Haugeland 1985) “The art of creating.
1 Lyle H. Ungar, University of Pennsylvania What is AI? “Artificial Intelligence is the study of how to make computers do things at which, at the moment,
Artificial Intelligence Dr. Paul Wagner Department of Computer Science University of Wisconsin – Eau Claire.
 Define A.I and discuss its application areas in detail.  Explain Turing test. why it is not justifiable to use it to test whether the machine is intelligent.
What is Artificial Intelligence? AI is the effort to develop systems that can behave/act like humans. Turing Test The problem = unrestricted domains –human.
Artificial Intelligence: Its Roots and Scope
Artificial Intelligence: Definition “... the branch of computer science that is concerned with the automation of intelligent behavior.” (Luger, 2009) “The.
Notes for Chapter 12 Logic Programming The AI War Basic Concepts of Logic Programming Prolog Review questions.
13: Inference Techniques
Copyright R. Weber INFO 629 Concepts in Artificial Intelligence Expert Systems Fall 2004 Professor: Dr. Rosina Weber.
Artificial Intelligence
Introduction to Artificial Intelligence and Soft Computing
Assoc. Prof. Abdulwahab AlSammak. Course Information Course Title: Artificial Intelligence Instructor : Assoc. Prof. Abdulwahab AlSammak
Computing & Information Sciences Kansas State University Wednesday, 20 Sep 2006CIS 490 / 730: Artificial Intelligence Lecture 12 of 42 Wednesday, 20 September.
 Dr. Syed Noman Hasany 1.  Review of known methodologies  Analysis of software requirements  Real-time software  Software cost, quality, testing.
Chapter 13 Artificial Intelligence and Expert Systems.
Artificial Intelligence: Introduction Department of Computer Science & Engineering Indian Institute of Technology Kharagpur.
Kansas State University Department of Computing and Information Sciences CIS 730: Introduction to Artificial Intelligence Lecture 13 of 41 Monday, 20 September.
Kansas State University Department of Computing and Information Sciences CIS 730: Introduction to Artificial Intelligence Lecture 14 of 41 Wednesday, 22.
WEEK INTRODUCTION IT440 ARTIFICIAL INTELLIGENCE.
Spring, 2005 CSE391 – Lecture 1 1 Introduction to Artificial Intelligence Martha Palmer CSE391 Spring, 2005.
Artificial Intelligence: Research and Collaborative Possibilities a presentation by: Dr. Ernest L. McDuffie, Assistant Professor Department of Computer.
ITEC 1010 Information and Organizations Chapter V Expert Systems.
Kansas State University Department of Computing and Information Sciences CIS 730: Introduction to Artificial Intelligence Lecture 14 of 42 Wednesday, 22.
1 Chapter 13 Artificial Intelligence and Expert Systems.
Chapter 21 Robotic Perception and action Chapter 21 Robotic Perception and action Artificial Intelligence ดร. วิภาดา เวทย์ประสิทธิ์ ภาควิชาวิทยาการคอมพิวเตอร์
Computing & Information Sciences Kansas State University Wednesday, 04 Oct 2006CIS 490 / 730: Artificial Intelligence Lecture 17 of 42 Wednesday, 04 October.
Representation and Search The function of a representation is to capture the critical features of the problem domain –and make the information accessible.
Artificial Intelligence Knowledge Representation.
COMPUTER SYSTEM FUNDAMENTAL Genetic Computer School INTRODUCTION TO ARTIFICIAL INTELLIGENCE LESSON 11.
Definition and Technologies Knowledge Representation.
Computing & Information Sciences Kansas State University Friday, 13 Oct 2006CIS 490 / 730: Artificial Intelligence Lecture 21 of 42 Friday, 13 October.
Expert Systems Chapter Artificial IntelligenceChapter 82 Expert System p. 547 MYCIN (1976) see section 8.2 backward chaining + certainty factor.
The Hebrew University of Jerusalem School of Engineering and Computer Science Academic Year: 2011/2012 Instructor: Jeff Rosenschein.
EXPERT SYSTEMS BY MEHWISH MANZER (63) MEER SADAF NAEEM (58) DUR-E-MALIKA (55)
Decision Support and Business Intelligence Systems (9 th Ed., Prentice Hall) Chapter 12: Artificial Intelligence and Expert Systems.
Artificial Intelligence
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence Heshaam Faili University of Tehran.
Course Objectives This part of course introduces some main strategies and methods used in intelligent systems. The topics include the history and applications.
CHAPTER 1 Introduction BIC 3337 EXPERT SYSTEM.
Organization and Knowledge Management
PART IV: The Potential of Algorithmic Machines.
Artificial Intelligence (AI)
Introduction to Expert Systems Bai Xiao
Knowledge Representation
Basic Intro Tutorial on Machine Learning and Data Mining
EXPERT SYSTEMS.
Artificial Intelligence (AI)
Introduction to Artificial Intelligence and Soft Computing
Knowledge Representation and Inference
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
SEG 4560 Midterm Review.
Subject : Artificial Intelligence
Presentation transcript:

KNOWLEDGE BASED SYSTEMS Dr.A.Kannan

ARTIFICIAL INTELLIGENCE AI – John Mc Carthy 1956. Make Computers to do things. Developing Intelligent Computer Programs. Classes of AI Theorem proving Perception Robotics Natural Language Processing Common Sense Reasoning Expert Systems Game Playing

Knowledge Based Systems Domain Expert Knowledge Engineering Knowledge Engineer Knowledge = Facts + Rules Knowledge Base Knowledge Based Systems Database Systems Vs Knowledge Base Systems.

Knowledge Base Vs Database More Rules Less Rules Facts Less More Facts Explicit Rules and Facts Explicit Facts and Implicit Rules Experts update Clerks update Main Memory Based Disk Based

AI Programs - Exhibit Intelligent Behavior by skillful application of heuristics. KBS – Make domain knowledge explicit Expert Systems – Apply expert knowledge to difficult, Real world problems.

Expert Systems Knowledge Base = Facts + Rules. Inference Engine (Interpreter + Scheduler) Deduction Reasoning Temporal Reasoning Reasoning by Analogy Chaining (Forward & Backward) Representation and Manipulation.

LOGIC First Order Logic Higher Order Logics Predicate Logic Propositional Logic Higher Order Logics Situational Logic Fuzzy Logic Temporal Logic Modal Logic Epistemic Logic

Knowledge Representation Techniques Tables Rules Semantic Networks Frames Conceptual Dependency Scripts

SEARCHING Depth First Search Breadth First Search Best First Search Hill Climbing A* AO* Minimax

CONCLUSION Decision Making Complete and Incomplete Information Intelligent Behavior Knowledge Representation Logics Searching Techniques