This document provides an overview of artificial intelligence. It defines AI as "making intelligent machines, especially intelligent computer programs" by studying human intelligence. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. Intelligence is composed of reasoning, learning, problem solving, and perception. AI tasks are classified as formal, mundane, or expert. Intelligent agents have an architecture and program, and can be simple reflex agents, model-based reflex agents, goal-based agents, or utility-based agents. Expert systems have components and artificial neural networks imitate the human brain through connections.

2. What is Artificial Intelligence?
According to the father of Artificial Intelligence, John McCarthy, it
is “The science and engineering of making intelligent machines, especially
intelligent computer programs”.
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.
AI is accomplished by studying how human brain thinks, and how
humans learn, decide, and work while trying to solve a problem, and then
using the outcomes of this study as a basis of developing intelligent software
and systems.

3. Goals of AI
To Create Expert Systems − The systems which exhibit intelligent behavior,
learn, demonstrate, explain, and advice its users.
To Implement Human Intelligence in Machines − Creating systems that
understand, think, learn, and behave like humans.

5. What is Intelligence Composed of?
The intelligence is intangible. It is composed of :
Reasoning
Learning
Problem Solving
Perception
Linguistic Intelligence

7. The domain of artificial intelligence

8. Task Classification of AI:
The domain of AI is classified into Formal tasks, Mundane tasks, and Expert tasks.

10. The Structure of Intelligent Agents
Agent’s structure can be viewed as −
Agent = Architecture + Agent Program
Architecture = the machinery that an agent executes on.
Agent Program = an implementation of an agent function.
Simple Reflex Agents
They choose actions only based on the current percept.
They are rational only if a correct decision is made only on the basis of
current precept.
Their environment is completely observable.

11. Simple Reflex Agents

12. Model Based Reflex Agents

13. Goal Based Agents

14. Utility Based Agents

15. Components of Expert Systems

16. Basic Structure of ANNs:
The idea of ANNs is based on the belief that working of human brain by making the
right connections, can be imitated using silicon and wires as
living neurons and dendrites.

17. Types of Artificial Neural Networks
There are two Artificial Neural Network topologies FeedForward and Feedback
FeedForward

18. FeedBack ANN