How Can Artificial Intelligence Help Us?

How Can Artificial Intelligence Help Us?

Introductory Paragraph, including thesis statement

I. Description of Artificial Intelligence

A. Descriptions of AI

1. Definition of AI

2. Coined in 1956

B. How AI can be achieved

1. Specialized software

2. Specialized computer systems

3. Add-on applications

C. How can we measure the ability to think

1. Relative brain-power

2. Usefulness of the application

II. How AI is developed

A. Neural Networks

1. Membrane of neurodes

2. Chain of past experiences

3. Learns on its own

B. Fuzzy Logic

1. Recommends an outcome

2. Definition of fuzzy logic

3. Assigns values to all factors

4. More than a yes or no format

5. Highly fault tolerant

C. Chaos Engineering

1. Evaluates several variables

2. Predicts massive chaotic systems

3. Finds order to random phenomena

D. Knowledge-based systems (KBS)

1. Maintains large knowledge base

2. Facts programmed into rules

3. Only as good as the information

E. Expert Systems

1. Database of information

2. Limited to structured rules

3. Use symbolic representations

F. Case-bases reasoning (CBR)

1. Allows a system to store and analyze data

2. Analyzes each case uniquely

III. How AI can be used

A. Neural Networks

1. Military aircraft

2. S&P index

3. Recognizing new patterns of credit-card fraud

B. Fuzzy logic

1. Washing machines

2. Vacuum cleaners

3. AC's

C. Chaos theory

1. Wall street

2. Ability to predict and diagnose heart disease

D. Expert systems

1. Employee Training

2. Wisdom Simulators

3. Industry applications

E. KBS and CBR

1. Help desks

2. Law

3. Paroling inmates

IV. Recommendations

A. Neural Nets

1. Best for sifting through super large information sets.

2. Requires huge amounts of processing power, sometimes parallel

B. Fuzzy Logic

1. Excellent for market buying

2. Cheap, low processor requirements

3. Handles only a limited amount of variables

C. Chaos Engineering

1. Best for analyzing a large amount of variables

2. Primitive, large amount of processing power very high learning curve

D. CBR and KBS

1. Supplements expert systems with powerful search engines

2. Requires an expert