Are you a technology lover? If yes, then you might have heard about artificial intelligence- a modern approach textbook. This textbook recently makes a buzz across the world with a simple to grab concepts of robotics — also, the university textbook presented by Peter Norvig and Stuart J. Russell. In 1995, the book was first published, and it’s 3rd edition released on 11 December 2009. In the field of robotics, artificial intelligence plays a crucial role briefly described in the standard textbook.
It, specially designed for undergraduate students. It can even be read by research-level students. In addition to this, the extensive bibliography is the primary source of the book. The book was sold in three editions, namely, 1st 1995, 2nd 2003, and 3rd 2009.
Artificial Intelligence Description
The book captures all the changes and improvements made on the ground of AI since it’s evolution. The entire range of critical AI technology applications with widespread practical speech recognition deployed. For example, topics like autonomous vehicles, household robotics, and machine translation covered. The solution of game checkers algorithm landmarks has included.
Moreover, the book gains tremendous theoretical progress since it’s launch. In particular, machine learning, computer vision, probabilistic reasoning is included.
Artificial Intelligence Features
It’s a kickstart for the beginner in the AI field. It lays not only the foundation but also builds basics for first-year students. If you are an AI enthusiast, this brilliant book will serve you better. It contains everything from theoretical knowledge to practical knowledge.
Furthermore, it advances on various subjects providing some necessary critical information. It will sound like a philosophical introduction and journey to the dept of artificial intelligence. The paper is better, and you can expect it in an appropriate condition from online stores.
It is most comprehensive, with long-anticipated revision of practical and theoretical intelligence.
Artificial Intelligence A Modern Approaches Contains
Surprisingly, the textbook divides into seven parts and has 27 chapters. Moreover, the large text sums up two semesters to cover up the projects and chapters. It divided into seven parts
This part contains a basic introduction to the AI systems. The following sections will allow you to decided what and when the actions to take.
This part focuses and puts emphasizes on methods for knowing the actions when it’s needed to think ahead, such as playing a chess game.
Knowledge, Planning, And Reasoning
Also, this part discusses and presents ways about an intelligent agent’s environment. However, the main aim is to learn how reasoning and logically put to knowledge.
Uncertain Reasoning, And Knowledge
Furthermore, this section is a part of reasoning, planning, and knowledge. It will deal with decision-making and logic. It comes in use when the environment becomes uncertain.
Artificial Intelligence Learning
The learning section describes methods to generate knowledge through decision-making components. Also, it introduces elements such as an artificial neural network.
Perceiving, Communicating, And Acting
This section concentrates and focuses on ways or methods an intelligent agent perceives by vision or touch.
At the same time, the conclusion section considers the past, present, and future of artificial intelligence. Also, it will also discuss philosopher views and what they believe. The textbook contain are in pseudo-code with python, java, and lisp implementations. Finally, it even includes unsupported applications in C++, Prolog, and C# languages. You can buy the textbook from online stores at affordable price.
Moreover, go through the concepts many times to grab it well. Also, make a note of it. The notes will help you to remember the concepts well for later use such as the semester exams. It is considered the best textbook is ever written on AI. Learning, reasoning, and self-correction are the three main factors of the textbook. AI robot are programmed to intimate actions of humans and analyze data or solve problems.