This lecture slide explains the searching algorithm commonly used in AI

3. Some more intelligence….
Definition from Rich & Knight : a
program that
– Acts like human (Turing test)
– Thinks like human (human-like
patterns of thinking steps)
– Acts or thinks rationally
(logically, correctly)

7. History of AI

9. AI components
• Reasoning
• Learning
• Problem Solving
• Perception
• Linguistic Intelligence

10. Reasons to Learn AI
With the help of AI, you can create such software or devices which can solve
real-world problems very easily and with accuracy such as health issues,
marketing, traffic issues, etc.
 With the help of AI, you can create your personal virtual Assistant, such as
Cortana, Google Assistant, Siri, etc.
With the help of AI, you can build such Robots which can work in an
environment where survival of humans can be at risk.
AI opens a path for other new technologies, new devices, and new
Opportunities.

12. AI in Medicine, Music, Telecom and Robotics

13. AI in Games and Banking Sector

14. Best 10 examples of AI in day to day life
1. Open Your Phone With Face ID- uses neural engine and face recognition
2. Email -Google gave us a smarter inbox, categorizing all the emails on its own, into folders such
as Primary, Social, Promotions, Updates and more.
3. Entertainment and Social Apps-identifying friends from photos, newsfeed personalization. ,Netflix
- recommendations
4. Google Navigation- Maps uses Machine Learning
5. Banking & Finance- AI & ML provides security features (Fraud preventions E-payments, Mobile
Banking)
6. Google predictive search algorithms-Google Auto complete forms- RankBrain is the algorithm
name
7. E-commerce – pattern matching , product recommendations
8. Mobile use- Speech recognition with Natural Language Processing (voice to text, chatbot)
9. Video games-AI controlled Non-playable characters (NPC), ML for BGM
10. Smart Personal Assistant- Google Assistant , Alexa, SIRI (Online shopping, Controlling lights
and other internet-enabled equipment ,Setting reminders and alarms , Booking cabs, flights and
trains, Playing music and videos )

15.  Advantages of Artificial Intelligence
 Following are some main advantages of Artificial Intelligence:
• High Accuracy with less errors: AI machines or systems are prone to less errors and high
accuracy as it takes decisions as per pre-experience or information.
• High-Speed: AI systems can be of very high-speed and fast-decision making, because of
that AI systems can beat a chess champion in the Chess game.
• High reliability: AI machines are highly reliable and can perform the same action multiple
times with high accuracy.
• Useful for risky areas: AI machines can be helpful in situations such as defusing a bomb,
exploring the ocean floor, where to employ a human can be risky.
• Digital Assistant: AI can be very useful to provide digital assistant to the users such as AI
technology is currently used by various E-commerce websites to show the products as per
customer requirement.
• Useful as a public utility: AI can be very useful for public utilities such as a self-driving car
which can make our journey safer and hassle-free, facial recognition for security purpose,
Natural language processing to communicate with the human in human-language, etc.

16.  Disadvantages of Artificial Intelligence
 Every technology has some disadvantages, and the same goes for Artificial intelligence. Being so advantageous
technology still, it has some disadvantages which we need to keep in our mind while creating an AI system.
Following are the disadvantages of AI:
• High Cost: The hardware and software requirement of AI is very costly as it requires lots of maintenance to
meet current world requirements.
• Can't think out of the box: Even we are making smarter machines with AI, but still they cannot work out
of the box, as the robot will only do that work for which they are trained, or programmed.
• No feelings and emotions: AI machines can be an outstanding performer, but still it does not have the
feeling so it cannot make any kind of emotional attachment with human, and may sometime be harmful for
users if the proper care is not taken.
• Increase dependency on machines: With the increment of technology, people are getting more dependent
on devices and hence they are losing their mental capabilities.
• No Original Creativity: As humans are so creative and can imagine some new ideas but still AI machines
cannot beat this power of human intelligence and cannot be creative and imaginative.

17. Internal Representation
In order to act intelligently, a computer must have the
knowledge about the domain of interest.
Knowledge is the body of facts and principles gathered or the
act, fact, or state of knowing.
This knowledge needs to be presented in a form, which is
understood by the machine.
This unique format is called internal representation.
Thus plain English sentences could be translated into an
internal representation and they could be used to answer
based on the given sentences.

18. Internal Representation
1. Internal Representation should avoid Ambiguity in words due to same meaning of words
Example: Bat is flying;
Bat is with Ram
2. Internal Representation should explicitly mention functional structure to express an idea. It should
follow the word order.
Example: Ram gave pencil to Raj. Raj was given a pencil by Ram.
Internal representation may not use the same order of the original sentence.
3. It should remove all referential ambiguity ie what the sentence refers to
Example : Sita and Gita are friends. She went to her house.
Who went to whose house ?

19. Properties of Internal Representation
Internal representation must remove all referential
ambiguity.
Referential ambiguity is the ambiguity about what the
sentence refers to
Example:’Raj said that Ram was not well. He must by lying”
Who does he refers to..?
Internal representation should avoid word sense ambiguity
Word sense ambiguity arise because of multiple meaning of
words.

20. Example
‘Raj caught a pen .
Raj caught a train.
Raj caught fever’
 Internal representation must explicitly mention functional
structure
 Functional structure is the word order used in the language to
express an idea.
Example:’Ram killed Ravan. Ravan was killed by Ram.
 Thus internal representation may not use the order of the original
sentence
 Internal representation should be handle complex sentence
without losing meaning attached with it.

21. Problem representation in AI
Define the problem precisely
Analyze the problem
Isolated and represent
Choose
State space representation: set of all possible
states for a given problem.

22. Example of problem space
to make a cup of coffee.
• Analyze the problem
• Check necessary ingrediants are
available or not
• If they are available, apply procedure
for making coffee.

23. • Ingrediants (initial state)
• Sequence of steps(states)
• Cup of coffee (goal)
• Coffee powder, milk powder, sugar
(operators)

25. We started with Ingredients i.e the Initial state.
 Followed by sequence of Steps.
 We added only needed amount of coffee
powder, milk & sugar. These are Operators/
Actions.
At last had a cup of coffee –Goal state.