The document introduces artificial intelligence (AI) and its goals, emphasizing its aim to replicate human-like intelligent behavior through various disciplines such as psychology and linguistics. It distinguishes between types of AI, including artificial narrow intelligence, general intelligence, and artificial superintelligence, while also contrasting traditional programming with machine learning and deep learning techniques. Additionally, the document covers Prolog, a logic programming language used in AI, explaining its structure, including facts, rules, and queries.

1. Introduction to AI using Prolog
By: Jyoti Sachdeva
Software Consultant
Knoldus Inc.
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2. Agenda
● What is AI?
● Goals of AI
● Disciplines of AI
● Types of AI
● ML vs. DL
● Distinguishing features
● Applications of AI
● What is Prolog?
● Fundamentals of Prolog
● Demo
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3. What is AI?
Artificial Intelligence is a way of making a computer, a computer-controlled
robot, or a software think intelligently, in the similar manner the intelligent
humans think.
Developing computer systems that equal or exceed human intelligence is
the crux of artificial intelligence.
Difference between Human and Machine Intelligence is humans perceive by
patterns whereas the machines perceive by set of rules and data.

4. Goals of AI
The primary goals of AI include deduction and reasoning, knowledge
representation, planning, natural language processing (NLP), learning,
perception, and the ability to manipulate and move objects.
Long-term goals of AI research include achieving Creativity, Social
Intelligence, and General (human level) Intelligence.
● To Create Expert Systems
● To Implement Human Intelligence in Machines
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5. Disciplines of AI
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● Philosophy
● Psychology
● Computer engineering
● Mathematics
● Neuroscience
● Linguistics
● Big Data

6. Types of AI
● ANI: The intelligence learns about a single task which it has to perform
efficiently and with smartness(intelligently).
● AGI: AGI has the same capabilities as a human.
● ASI: Type of intelligence that is smarter than humans.
Artificial Superintelligence is the reason why many prominent scientists and
technologists, including Stephen Hawking and Elon Musk, have raised
concerns about the possibility of human extinction.
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7. Types of AI
● Reactive
● Limited Memory
● Theory of Mind
● Self Awareness
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8. Traditional Programming vs ML

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10. Machine Learning: ML uses algorithms to parse data,learn from data and makes informed
decisions based on what it has learned.It focuses on the development of computer
programs that can change when exposed to new data.
Deep Learning: DL structures algorithms in layers to create ANN that can learn and make
intelligent decisions on its own.Because the most exciting application of AI today gives
computers the ability to “learn” how to carry out a task from data, without being
programmed to do that task, each layer can represent increasingly abstract features.
Artificial intelligence is the field of science covering how computers can make decisions as
well as humans. But machine-learning refers to the popular, modern-day technique for
creating software that learns from data.
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ML vs. DL

11. ● Data Dependency
● Hardware Dependency
● Problem Solving
● Execution Time
● Interoperability
Distinguishing features

12. Applications of AI
● Gaming
● Robotics
● Expert Systems
● Speech Recognition
● Handwriting Recognition
● Natural Language Processing
● Intelligent Robots
● Vision Systems
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13. What is Prolog?
● Programming in Logic
● Declarative
● Widely used in AI
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14. Fundamentals of Prolog
● Facts: Clauses with empty bodies are called facts.
Example: likes(john, susie). /* John likes Susie */
● Rules: A rule is a predicate expression that uses logical implication (:-) to
describe a relationship among facts.
Rule is in form- Head:-Body
Example: friends(X,Y) :- likes(X,Y),likes(Y,X).
● Query: The Prolog interpreter responds to queries about the facts and
rules represented in its database.
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15. List in Prolog
● Prolog also has a special facility to split the first part of the list (called the
head) away from the rest of the list (known as the tail).
Example:
● [a,b,c] unifies with [Head|Tail] resulting in Head=a and Tail=[b,c].
● p([a], X, Y). x=[a],y=[]
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16. References
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● https://www.techopedia.com/definition/190/artificial-intelligence-ai
● https://searchenterpriseai.techtarget.com/definition/AI-Artificial-Intelligence
● https://github.com/delly84/basic_sentiment_analysis_prolog
● https://www.tutorialspoint.com/prolog_in_artificial_intelligence/index.asp
● http://www.cse.unsw.edu.au/~billw/cs9414/notes/prolog/intro.html

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