Unit 3-Artificial Intelligence Exam Review Solution

Unit 3-Artificial Intelligence Exam Review Solution

Intelligence - ANS-as we know, is the ability to acquire and apply knowledge.
Intelligence is composed of: - ANS-§Reasoning
§Learning
§Problem Solving
§Perception
§ Linguistic Intelligence
Knowledge - ANS-is the information acquired through experience.
Experience - ANS-is the knowledge gained through exposure (training)
the two components of ai - ANS-an agent and its environment
Machine perception - ANS-is the ability to use input from sensors (such as cameras, microphones,
sensors, etc.) to deduce aspects of the world. e.g., Computer Vision.
deep learning - ANS-The field of neural networks with several hidden layers is called .
The term machine learning - ANS-was introduced by Arthur Samuel in 1959
Neural networks - ANS-are biologically inspired networks that extract features from the data in a
hierarchical fashion
Need for Artificial Intelligence - ANS-1. To create expert systems that exhibit intelligent behavior with
the capability to learn, demonstrate, explain and advice its users.
2. Helping machines find solutions to complex problems like humans do and applying them as
algorithms in a computer-friendly manner
Goals of Artificial Intelligence - ANS-1. Replicate human intelligence
2. Solve Knowledge-intensive tasks
3. An intelligent connection of perception and action
4. Building a machine which can perform tasks that requires human intelligence such as:
✓ Proving a theorem
✓ Playing chess
✓ Plan some surgical operation
✓ Driving a car in traffic
5. Creating some system which can exhibit intelligent behavior, learn new things by itself, demonstrate,
explain, and can advise to its user.
Intelligence - ANS-is an intangible part of our brain which is a combination of Reasoning, learning,
problem-solving, perception, language understanding, etc
✓ Mathematics
✓ Biology
✓ Psychology
✓ Sociology
✓ Computer Science
✓ Neurons Study
✓ Statistics
Advantages of Artificial Intelligence - ANS-1. High Accuracy with fewer errors
2. high speed
3. high reliability
4. useful for risky areas
5. digital assistant
6. useful as a public utility
Disadvantages of Artificial Intelligence - ANS-high cost
cant think out of the box
no feelings and emotions
increase dependence on machines
no original creativity
stage 1 - ANS-rule based systems(perception) what is happening now
stage 2 - ANS-context awareness and retention(notification) what do i need to know
stage 3 - ANS-domain specific expertise(suggestion) what do you recommend
stage 4 - ANS-reasoning machines(automation) what should i always do
stage 5 - ANS-Self Aware Systems / Artificial General Intelligence (AGI) (prediction) what can i expect to
happen

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