1. Intelligent Support Systems

2. Intelligent Systems and Artificial Intelligence
Artificial intelligence and intelligent behavior
Comparing artificial and natural intelligence
Conventional versus AI computing
Commercial artificial intelligence field

3. 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.).

4. Objectives of AI To make machines smarter
Understand what intelligence is
To make machines more useful

5. 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

6. Intelligent Behavior Dealing with complex situations
Applying knowledge to manipulate the environment
Recognizing the relative importance of different elements in a situation

7. 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

8. 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

9. 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. 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

12. 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.

13. Benefits of ES Increased output and productivity Increase quality
Capture of scarce expertise and its dissemination
Operation in hazardous environments
Accessibility to knowledge

14. Benefits of an ES Reliability
Increased capabilities of other computerized systems
Ability to work with incomplete or uncertain information
Provision of training

15. Benefits of ES Enhancement of problem solving capabilities
Decreased decision making time

16. Components of Expert Systems

17. Other Intelligent Systems
Natural language processing (NLP) and voice technology
Neural computing
Fuzzy logic
Intelligent agents

18. Natural Language Processing and Voice Technology
Applications of natural language processing (NLP)
Speech (voice) recognition and understanding
Advantages of speech recognition
Voice synthesis

19. Applications of Natural Language Processing

20. Advantages of Speech Recognition
Ease of access
Speed
Manual freedom
Remote access
Accuracy

21. 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

22. Artificial Neural Networks (ANN) - Business Applications
Tax fraud
Financial services
Loan applications evaluation
Solvency prediction
New product analysis
Airline fare management
Prediction

23. 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

24. 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.

25. 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.

27. Major Tasks Performed by IA
Information access and navigation
Decision support and empowerment
Repetitive office activity
Mundane personal activity
Search and retrieval
Domain experts

28. Applications of IA User interface Operating systems agents
Spreadsheet agents
Workflow and administrative management agents
Software development
Negotiation in electronic commerce

29. Emerging Technology: Virtual Reality (VR)
How does it work
VR and the internet/intranets
VR and decision making

30. How Does VR Work

31. Managerial Issues Cost-benefit and justification
Heightened expectations
Acquiring knowledge
System acceptance
System integration

32. Managerial Issues
System technologies
Ethical issues

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