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TECHNOLOGY GUIDE 4: Intelligent Systems. TG 4.1 Introduction to Intelligent Systems TG 4.2 Expert Systems TG 4.3 Neural Networks TG 4.4 Fuzzy Logic TG.

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Presentation on theme: "TECHNOLOGY GUIDE 4: Intelligent Systems. TG 4.1 Introduction to Intelligent Systems TG 4.2 Expert Systems TG 4.3 Neural Networks TG 4.4 Fuzzy Logic TG."— Presentation transcript:

1 TECHNOLOGY GUIDE 4: Intelligent Systems

2 TG 4.1 Introduction to Intelligent Systems TG 4.2 Expert Systems TG 4.3 Neural Networks TG 4.4 Fuzzy Logic TG 4.5 Genetic Algorithms TG 4.6 Intelligent Agents TECHNOLOGY GUIDE 4: INTELLIGENT SYSTEMS 2Copyright John Wiley & Sons Canada

3 TG 4.1 Introduction to Intelligent Systems TG 4.2 Expert Systems TG 4.3 Neural Networks TG 4.4 Fuzzy Logic TG 4.5 Genetic Algorithms TG 4.6 Intelligent Agents INTELLIGENT SYSTEMS 3Copyright John Wiley & Sons Canada

4 LEARNING OBJECTIVES 1.Differentiate between artificial intelligence and human intelligence. 2.Define “expert systems,” and provide examples of their use. 3.Define “neural networks,” and provide examples of their use. 4Copyright John Wiley & Sons Canada

5 LEARNING OBJECTIVES (CONTINUED) 4.Define “fuzzy logic,” and provide examples of its use. 5.Define “genetic algorithms,” and provide examples of their use. 6.Define “intelligent agents,” and provide examples of their use. 5Copyright John Wiley & Sons Canada

6 TG 4.1 INTRODUCTION TO INTELLIGENT SYSTEMS Intelligent systems: information systems that can make decisions by themselves. –Examples: Web apps and medical usesWeb apps medical uses Major categories of intelligent systems: –expert systems –neural networks –fuzzy logic –genetic algorithms –intelligent agents 6Copyright John Wiley & Sons Canada

7 NATURAL VS. ARTIFICIAL INTELLIGENCE 7Copyright John Wiley & Sons Canada

8 TG 4.2 EXPERT SYSTEMS Click here to access the Website of IBM Watson SupercomputerClick here 8Copyright John Wiley & Sons Canada

9 EXPERTISE TRANSFER FROM HUMAN TO COMPUTER 1.Knowledge acquisition 2.Knowledge representation 3.Knowledge inferencing 4.Knowledge transfer 9Copyright John Wiley & Sons Canada

10 THE COMPONENTS OF EXPERT SYSTEMS Knowledge base Inference engine User interface Blackboard (workplace) Explanation subsystem (justifier) 10Copyright John Wiley & Sons Canada

11 FIGURE TG 4.1 STRUCTURE AND PROCESS OF AN EXPERT SYSTEM 11Copyright John Wiley & Sons Canada

12 TABLE TG 4.2 TEN GENERIC CATEGORIES OF EXPERT SYSTEMS 12Copyright John Wiley & Sons Canada

13 TABLE TG 4.3 BENEFITS OF EXPERT SYSTEMS 13Copyright John Wiley & Sons Canada

14 DIFFICULTIES OF USING ES Difficulty transferring domain expertise from human experts to the expert system Challenge to automate certain processes Potential liability 14Copyright John Wiley & Sons Canada

15 TG 4.3 NEURAL NETWORKS 15Copyright John Wiley & Sons Canada

16 TG 4.4 FUZZY LOGIC Fuzzy logic is a branch of mathematics that deals with uncertainties by simulating the processes of human reasoning. Examples: –Financial analysis (loan application) –Accounting (goodwill) –Internet searches (search queries) 16Copyright John Wiley & Sons Canada

17 TG 4.5 GENETIC ALGORITHMS Genetic algorithms have three functional characteristics: –Selection (survival of the fittest): Giving preference to better and better outcomes. –Crossover: Combining portions of good outcomes in the hope of creating an even better outcome. –Mutation: Randomly trying combinations and evaluating the success (or failure) of an outcome. 17Copyright John Wiley & Sons Canada

18 TG 4.6 INTELLIGENT AGENTS Three types of Intelligent Agents (also called bots): –Information Agents –Monitoring-and-Surveillance Agents –User Agents 18Copyright John Wiley & Sons Canada

19 INTELLIGENT AGENTS CONTINUED Information agents search for information and display it to users.Information agents Monitoring-and-surveillance agents, also called predictive agents, constantly observe and report on some item of interest.Monitoring-and-surveillance agents User agents, also called personal agents, take action on your behalf. 19Copyright John Wiley & Sons Canada

20 TECHNOLOGY GUIDE CLOSING 1.There are a number of characteristics that differentiate artificial and human intelligence. 2.Expert systems are computer systems that attempt to mimic human experts by applying expertise in a specific domain. 3.A neural network is a system of programs and data structures that simulate the underlying concepts of the human brain. 20Copyright John Wiley & Sons Canada

21 TECHNOLOGY GUIDE CLOSING (CONTINUED) 4.Fuzzy logic is a branch of mathematics that deals with uncertainties by simulating the processes of human reasoning. 5.A genetic algorithm is an intelligent system that mimics the evolutionary, “survival-of-the-fittest” process to generate increasingly better solutions to a problem. 6.An intelligent agent is a software program that assists you, or acts on your behalf, in performing repetitive, computer-related tasks. 21Copyright John Wiley & Sons Canada

22 Copyright Copyright © 2014 John Wiley & Sons Canada, Ltd. All rights reserved. Reproduction or translation of this work beyond that permitted by Access Copyright (the Canadian copyright licensing agency) is unlawful. Requests for further information should be addressed to the Permissions Department, John Wiley & Sons Canada, Ltd. The purchaser may make back-up copies for his or her own use only and not for distribution or resale. The author and the publisher assume no responsibility for errors, omissions, or damages caused by the use of these files or programs or from the use of the information contained herein. Copyright John Wiley & Sons Canada


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