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Transcript
Intelligent Support Systems
11-1
Intelligent Systems and Artificial
Intelligence
• Artificial intelligence and intelligent
behavior
• Comparing artificial and natural intelligence
• Conventional versus AI computing
• Commercial artificial intelligence field
11-2
Artificial Intelligence and
Intelligent Behavior
Artificial intelligence (AI) is concerned
with two basic ideas. First, it involves
studying the thought processes of humans;
second, it deals with representing those
processes via machines (computer, robots,
etc.).
11-3
Objectives of AI
• To make machines smarter
• Understand what intelligence is
• To make machines more useful
11-4
Intelligent Behavior
• Learning or understanding from experience
• Making sense of ambiguous or
contradictory messages
• Responding quickly and successfully to new
situations
• Using reason to solve problems and direct
actions effectively
11-5
Intelligent Behavior
• Dealing with complex situations
• Applying knowledge to manipulate the
environment
• Recognizing the relative importance of
different elements in a situation
11-6
Artificial and Natural Intelligence
AI Advantages over Natural Intelligence
• AI is more permanent
• AI offers ease of duplication and
dissemination
• AI can be less expensive
• AI is consistent and thorough
• AI can be documented
11-7
Artificial and Natural Intelligence
Natural Intelligence Advantages over AI
• Natural intelligence is creative
• Natural intelligence enables people to
benefit from and directly use sensory
experiences
11-8
Artificial and Natural Intelligence
Natural Intelligence Advantages over AI
• Natural intelligence enables people to
recognize relationships between things,
sense qualities, and spot patterns that
explain how various items interrelate
• Human reasoning is always able to make
use of a context of experiences
11-9
11-10
Commercial AI Field
•
•
•
•
•
Expert systems (ES)
Natural language
Robotics and sensory systems
Computer vision and scene recognition
Intelligent computer-aided instruction
(ICAI)
• Machine learning
• Handwriting recognizers
11-11
Expert System (ES)
An ES is decision-making software that can
reach a level of performance comparable to
- or even exceeding that of - a human expert
in some specialized problem area.
11-12
Benefits of ES
• Increased output and productivity
• Increase quality
• Capture of scarce expertise and its
dissemination
• Operation in hazardous environments
• Accessibility to knowledge
11-13
Benefits of an ES
• Reliability
• Increased capabilities of other computerized
systems
• Ability to work with incomplete or
uncertain information
• Provision of training
11-14
Benefits of ES
• Enhancement of problem solving
capabilities
• Decreased decision making time
11-15
Components of Expert Systems
11-16
Other Intelligent Systems
• Natural language processing (NLP) and
voice technology
• Neural computing
• Fuzzy logic
• Intelligent agents
11-17
Natural Language Processing and
Voice Technology
• Applications of natural language processing
(NLP)
• Speech (voice) recognition and
understanding
• Advantages of speech recognition
• Voice synthesis
11-18
Applications of Natural
Language Processing
11-19
Advantages of Speech
Recognition
•
•
•
•
•
Ease of access
Speed
Manual freedom
Remote access
Accuracy
11-20
Benefits and Applications of
Neural Computing
• Potential to provide some of the human
characteristics of problem solving
– Recognition of patterns and characteristics
• Fault-tolerance
• Generalization
• Adaptability
11-21
Artificial Neural Networks
(ANN) - Business Applications
•
•
•
•
•
•
•
Tax fraud
Financial services
Loan applications evaluation
Solvency prediction
New product analysis
Airline fare management
Prediction
11-22
Artificial Neural Networks
(ANN) - Business Applications
•
•
•
•
•
Evaluation of personnel and job candidates
Resource allocation
Data mining
Foreign exchange rate
Stock, bond, and commodities selection and
trading
• Signature validation
11-23
Fuzzy Logic
Fuzzy logic is a technique, developed by
Zadeh, that deals with uncertainties by
simulating the process of human reasoning,
allowing the computer to behave less
precisely and logically than conventional
computers do.
11-24
Intelligent Agent (IA)
Intelligent agents are software entities that
carry out some set of operations on behalf
of a user or another program, with some
degree of independence and in so doing,
employ some knowledge or representation
of the user’s goals.
11-25
11-26
Major Tasks Performed by IA
•
•
•
•
•
•
Information access and navigation
Decision support and empowerment
Repetitive office activity
Mundane personal activity
Search and retrieval
Domain experts
11-27
Applications of IA
•
•
•
•
User interface
Operating systems agents
Spreadsheet agents
Workflow and administrative management
agents
• Software development
• Negotiation in electronic commerce
11-28
Emerging Technology:
Virtual Reality (VR)
• How does it work
• VR and the internet/intranets
• VR and decision making
11-29
How Does VR Work
11-30
Managerial Issues
•
•
•
•
•
Cost-benefit and justification
Heightened expectations
Acquiring knowledge
System acceptance
System integration
11-31
Managerial Issues
• System technologies
• Ethical issues
11-32
Copyright  1999 John Wiley & Sons, Incorporated. All rights
reserved. Reproduction or translation of this work beyond that
permitted in Section 117 of the 1976 United States Copyright Act
without the express written permission of the copyright owner in
unlawful. Request for further information should be addressed to
the Permissions Department, John Wiley & Son, Inc. Adopters of
the textbook are granted permission to make back-up copies for
his/her own use only, to make copies for distribution to student of
the course the textbook is used in, and to modify this material to
best suit their instructional needs. Under no circumstances can
copies be made for resale. The publisher assumes no
responsibility for errors, omissions, or damages, caused by the use
of these programs or from the use of the information contained
herein.
11-33