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1 Management Information / 2014-2-WKU-MI-A08.pptx Prof. Dr. SSL in STEM of FP by C for LDV – pp. 1 Artificial Intelligence Management Information Systems Course Code: 166137-01 Course Name: Management Information Period: Autumn 2014 Lecturer: Prof. Sync Sangwon Lee, Ph. D Department: Business Administration University: WONKWANG Management Information / 2014-2-WKU-MI-A08.pptx Prof. Dr. SSL in STEM of FP by C for LDV – pp. 2 • 01. Artificial Intelligence • 02. Expert Systems • 03. Artificial Neural Network 00. Contents

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Page 1: Management Information / 2014-2-WKU-MI-A08contents.kocw.net/KOCW/document/2014/wonkwang/... · 6 Management Information / 2014-2-WKU-MI-A08.pptx Prof. Dr. SSL in STEM of FP by C for

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 1

Artificial IntelligenceManagement Information Systems

• Course Code: 166137-01

• Course Name: Management Information

• Period: Autumn 2014

• Lecturer: Prof. Sync Sangwon Lee, Ph. D

• Department: Business Administration

• University: WONKWANG

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 2

• 01. Artificial Intelligence• 02. Expert Systems• 03. Artificial Neural Network

00. Contents

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 3

• Artificial Intelligence (AI)• Function to reemerge human intelligence by use of computers

01. Artificial Intelligence

http://menslife.tistory.com

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 4

• Artificial Intelligence (AI)• Ex. Chess (John McCarthy)

01. Artificial Intelligence

http://innovation.it.uts.edu.au

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 5

• Human intelligence vs Artificial intelligence

01. Artificial Intelligence

http://www.mysciencework.com

http://www.33rdsquare.com

http://www.livescience.com

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 6

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://s669.photobucket.com

http://www.weburbanist.com

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 7

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://news.bbc.co.uk

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 8

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://www.ntt.co.jp

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 9

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://www.stricklensolutions.com

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 10

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://cscserver2.carrollu.edu

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 11

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://www.scienceclarified.com

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 12

• Techniques of Artificial intelligence

01. Artificial Intelligence

Robotics

Techniques of AI

Recognition Systems

Natural Language Processing

Learning Systems

Expert Systems

Artificial Neural Networks

Fuzzy Systems

http://www.cs.bris.ac.uk

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 13

• Expert Systems (ES)• = Systems for Experts or by Experts

02. Expert Systems

http://www.igcseict.info

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 14

• Concepts of Expert Systems (ES)

02. Expert Systems

ESExperts

KnowledgeEngineer

ExpertMaterials

Learning

Explanation

Inference

User

KnowledgeBase

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 15

• Structure of Expert Systems (ES)

02. Expert Systems

Users

Experts

KnowledgeEngineer

Expert Materials

Inference

Learning

Case

Explanation

Knowledge Base(KB)

Learning Knowledge

Jae Kyu Lee, KAIST

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 16

• Presentation of Knowledge

02. Expert Systems

Rules

Presentation of Knowledge

Semantic Network

Frame

Facts, Assertion

• Rule-based Shell• Prolog

• Prolog

• Object

• Database

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 17

• Presentation of Knowledge

02. Expert Systems

Example of Rule Base Example of AND/OR Graph

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 18

• Concepts of Inference

02. Expert Systems

Backward Chaining

Types of Inference

Forward Chaining

Mixed Inference

• Goal Driven Inference• Theory-Then-Research• Deduction• Statistics

• Data Driven Inference• CBR(Case Based Research)• Research-Then-Theory• Induction• Stochastic

http://22andinvincible.wordpress.com

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 19

• Concepts of Inference

02. Expert Systems

Extracting Case

Procedure of Case-Based Systems

Reusing Case

Correcting Case

• Similar Case

Learning Case

Jae Kyu Lee, KAIST

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 20

• Concepts of Inference

02. Expert Systems

Example of Case-Based Systems

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 21

Interpretation

Practical Uses of ES

Predication

• Practical Uses of Expert Systems (ES)

02. Expert Systems

Diagnosis

Design

Planning

Monitoring

Debugging

Repairing

Instruction

Controlling

• Expert Systems in Manufacturing

• CAD/CAM and Engineering Design• Machine Diagnosis and Maintenance• Process Control• Scheduling and Production Management • Energy Management • Quality Control• Manufacturing Simulation • Petroleum and Resource Exploration• Electric Utilities and Nuclear Facilities• Welding

http://www.atariarchives.org

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 22

• Artificial Neural Network (ANN)• Mathematical Model by use of Neuron

03. Artificial Neural Network

Jae Kyu Lee, KAIST

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 23

• Modeling for Artificial Neural Network

03. Artificial Neural Network

……

Active Functiona()

Ith Neuron

Output Functionf()

Jth Neuron

wji

kth Neuron

wik

Jae Kyu Lee, KAIST

Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 24

• Tools for Artificial Neural Network• Ex. Neuro-Cell

03. Artificial Neural Network

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Management Information / 2014-2-WKU-MI-A08.pptx

Prof. Dr. SSL in STEM of FP by C for LDV – pp. 25

Recognition

Practical Uses of ANN

Estimation & Evaluation

03. Artificial Neural Network

• Practical Uses of Artificial Neural Network (ANN)

• Forecasting Sales• Evaluating Bankruptcy• Detecting Illegal Transaction• Detecting Premium Leakages

• Voice Recognition• Image Recognition• Character Recognition

Ex) Fraud Detection Systems

20th, Men, Single, History, … Fraud

aY + bM + cS + dH = F

Crime Detection Systems?