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What is AI? A Complete Tutorial Guide to Artificial Intelligence for Beginners

What is Artificial Intelligence?

Artificial Intelligence is the latest buzz in today’s IT world. Here, we have brought the beginner’s guide for Artificial Intelligence and through this; you can get a complete idea of Artificial Intelligence and its applications. A number of latest technical equipment and devices are using Artificial Intelligence as their backend operative software. Artificial Intelligence is known as the future of the computer world and is the intelligence that is exhibited by the machines. Here, in this guide, we are going to introduce the Artificial Intelligence concept to the learners, from beginners to advanced level.

Here, through this article, we will introduce the topic to the beginners and for this, you are expected to know the basics of the computer world and the way in which it has been evolved. The article will discuss the quick introduction to Artificial Intelligence, goals, applications of Artificial Intelligence, types of Artificial Intelligence, and other Artificial Intelligence components like Artificial Intelligence agents, bots, and other ones. So, let's start learning Artificial Intelligence together.

Introduction of Artificial Intelligence

The time when the computers were evolved they could perform only a few of the tasks, but gradually the scientists have tried to increase their capability and day by day it is growing exponentially.

McCarthy, who is known as the father of Artificial Intelligence said that Artificial Intelligence is the science and engineering of making intelligent computer programs and machines. Through AI, scientists are trying to make a computer-controlled robot or are the process to make software think intelligently. Scientists try to make the computer think just like humans.

AI is the technology that is all about thinking the way in which the human brain works and the way in which computer learn, work and decide while trying to solve the problem. The study outcomes are then used to develop intelligent system software. So, in brief, we can say that:

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  • Artificial Intelligence is that technology or branch of the computer science that discusses the study and development of machines and software.
  • AI is the science which discusses the learning machines to think like humans

Artificial Intelligence Goals

The goals of Artificial Intelligence or Artificial Intelligence is to create an Expert System (A system that can learn, demonstrate, advice and explain the human behavior perfectly) and to implement human intelligence in machines (A system that can learn and behave like humans). Artificial Intelligence

Artificial Intelligence Applications

AI or Artificial Intelligence has a number of applications where we are going to enlist some of them:

  • Expert System: Some applications can integrate software, machines and special information to impart advising or reasoning. The advice to the user can be provided and explained as well.
  • Vision System: The visual systems can interpret, understand, and comprehend the input that is available in the visual form and can be provided to the users. The vision system examples are the clinical applications that are used by the doctors to diagnose the patient and a device that is able to take the photograph in the hidden way even the criminal identification application is also used by the police that helps them to visually identify the criminals.
  • Speech Recognition: Some machines are that much intelligent that they can hear, understand and interpret the human languages. These machines can understand the sentences and their meanings when someone talks in front of these machines They can also understand various slangs, accents, background noise and any change in human voice due to weather or any other reason.
  • Handwriting Recognition: This software system is able to understand or recognize the handwriting of the user. Moreover, the letter and shape can also be converted to the editable text.
  • Gaming: In some of the smart games like Chess, tic-tac-toe, and poker Artificial Intelligence plays an important role, in these games machines follow heuristic approach to think any larger number based on the current position of the token.
  • Natural Language Processing: Now, the computer can understand the human language just due to these Artificial Intelligence software applications.

Intelligent Agents of Artificial Intelligence

Artificial Intelligence takes the help of Intelligent agents that help in taking the decision smartly. Agents are used to perceiving the environment with the help of sensors and act on that environment with the help of effectors. Human agents have human organs like hands, legs, eyes and other body parts. A robotic agent has infrared finder range, cameras and other sensors along with motors that work as effectors. While a software agent is encoded with bit strings and is used to percept actions.

Intelligent agents of Artificial Intelligence are also known as rational agents and are used to do the right things. They can transform perception to the actions rationally. Calculators are also agents but are not intelligent as they cannot take the decision and perform only hardcore calculations. Two components that are used by the agents to take any action are Agent architecture and Programs. Agent architecture is its hardware infrastructure like videos, sensors, camera, machines or computers, while the program is just a software program that can control the software architecture to initiate agent. Agent’s performance can be judged and measured by its efficiency and correctness. The decision of the agents must be close to human expectation.

Example of Artificial Intelligence or Artificial Intelligence

Let's take the example of a car driver case. Here, in this example, there are many components involved in the complete process. The agent type will be a car driver, while its percept can be GPS, Cameras, Microphone, and Speedometer. The actions can be steering control, accelerate, brake or passenger talking. The goals of the system are to provide safe, comfortable and legal advice to the user. Here the environment will be on roads, traffic and pedestrian roads.

Read: Machine Learning is The New Wave of Grasping the Untouched Technology

Types of Artificial Intelligence or Artificial Intelligence

AI is a broad concept, depending on the Artificial Intelligence capabilities it can be divided into the following categories:

  1. Weak AI: It is also known as narrow AI, that focuses on one task. Weak AIs are not self-aware and genuinely intelligent. One of the most powerful Artificial Intelligence examples is iOS Siri, it can do a lot of things for the user, but while having a conversation with its virtual assistant you can see how week this Artificial Intelligence is?
  2. Strong AI: These agents are smart agents and are also referred to as Trusted AI, these computers are smarter like the human brain. These Artificial Intelligence can perform all the tasks of the human. Lots of research is going on for this field and there is still much to do. Examples are Imagining Matrix or I Robot.
  3. Artificial Super intelligent: These Artificial Intelligence are super intelligent and can perform better than humans. They are much smarter than practical humans and take many decisions. The Artificial Intelligence can learn all concepts properly and help the user as well.

Explain the different Agent Programs Types

1). Simple Reflex Agents

When the nearest object actions are clearly visible then simple reflex agents are used to providing the corresponding response. Here, is the car driver example, the role of the simple reflex agent will be at the time when car driver will apply the brake and the initialization must be performed by the agents.

2). Goal-Based Agents

Here, the reflex agents respond quickly when the perception is met. Here, the agents must be aware of the action sequence that is being followed to take any action. Here, in the car driving example, the route to the destination must be known to the car driver.

3). Utility-Based Agent

In these agents, the performance measures are specified by the user as per them the ‘happiness’ factor is maximized. The degree of comfort, cost, safety, and comfort is also associated with the specific goals and achievements.

What is the Artificial Intelligence Environment Properties?

The environment of Artificial Intelligence components describes the actions and help the agents to take the corresponding and appropriate decision as and when required. Below-listed environment properties help the agents to perform any task:

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1). Deterministic or Non-Deterministic

If the next environmental state can be determined, then it is called a deterministic environment. The next state is determined with the help of current state and is accessible to the agents easily. In case if the next state cannot be determined that it is known as the nondeterministic state.

2). Accessible or Inaccessible

If the complete environmental state becomes accessible, the environment is said or known as accessible agent environment. Here, agents need not track the complete environment status and the complete state is accessible can be maintained as well. In case of the inaccessible environment, the states are not clear and cannot be accessed as well. Apart from these, the environment types can be static, dynamic, discrete, continuous, episodic and non-episodic.

Final Words

In AI, there are a number of factors involved to take the decision. These decisions are part of the system. The agents play a crucial role in taking decision-based on the situation and perception is also a crucial factor. Based on the perception. the appropriate action is being taken.

Moreover, in Artificial Intelligence or artificial intelligence, hardware, and software both components are to be used by the user in making these decisions. The complete system is responsible for the decision can help the user and machine to perform the action. For more details on AI, you should join the Artificial Intelligence Certification Program at JanBask Training right away and get your dream job across top industries worldwide.

Read: Artificial Intelligence Learning Path - Future Scope & Career Growth

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