Artificial intelligence: A modern approach.



Artificial intelligence
Artificial intelligence

It is impossible as humans do not have thoughts about the future. From the beginning of all times, humanity has been thinking about what could happen in the future and how things could be. However, despite our thoughts always have been based on the future, in the last decade, we started to live the future.

In the past few years, all of us have been living in a reality that looks very impossible to believe if were saw by people of other times. Even most of the old generations have problems adapting to the new technologies.

But, it has not been an obstacle to keep dreaming about new technologies and modern ways to make old processes. In this environment of want to be better born artificial intelligence.

In the beginning, it was just part of fiction science, and movies, but humans do not want to settle to watch histories about artificial intelligence; they wanted to make it come true. For this reason, some writers decide to create a book about artificial intelligence, but beyond the fiction giving it a modern approach.

The title of the book describes perfectly the basic themes that the writer wants to develop. It has been as big the popularity of this book that it has to be used in different colleges to teach the students the reality about the artificial intelligence of today.

For this reason, we want to tell you a little bit more about this amazing book and all the parts that it has. In this way, you are going to be able to know more about artificial intelligence and see how close we are to make it a complete reality.

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History of the book.

First of all, this is a college book specially designed for students. It does not mean that the book does not have its complexity because it tries to explain all the aspects of artificial intelligence to clarify the picture.

The first publication of the book was in 1995, the second one is 2003, the third one in 2009, and the last one the past year. Despite it has four editions in different years, it was more popular in 2009, probably because society was more ready to talk about it on this date.

Even its popularity has been as big that most people call it the most popular book about artificial intelligence. This amazing book was written by Stuart J. Russell and Peter Norvig who made this book to use at the undergraduate level.

But, it does not mean that professionals on their post-degree cannot use this book because it only needs to be complemented. The authors recommend a long list of bibliographies that can help you to expand your knowledge.

As you can see, the relevance of this book for the areas of science and technology is very big. It is used in more than 100 universities around the world that approve all the content that it contains. Besides, despite its first edition having more than 20 years of its launch, it keeps being valid until today.

Thematic of the book.

Thematic of the book.
Thematic of the book

As we can know every book has its presentation and organization, and this book is not the exception. For this reason, we want to talk to you in general lines about the organization of this incredible book. In this way, you will be able to have an idea about what it talks about and understand it better.

First of all, the book talks about five approaches to intelligence artificial development. At the beginning of the book, they explain one of the reasons why they wrote it because for the time there were too many books about artificial intelligence.

However, all those books were based on the history of artificial intelligence. Despite it could a good approach to Artificial intelligence, these authors considered that it was a little bit missy. After all, when we see this topic with a timeline, there are too many ways, methods, and even conceptions about it.

For this reason, they considered that the best way to talk about artificial intelligence was making a unification. With this unification, they could make a book that has unique criteria and does not ramble between one current and another.

In this way, the readers can understand better all the elements around artificial intelligence and do not lose themselves between the 40 years of researches. It is one of the main reasons why this book is so popular.

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On the other way, the book also talks about the intelligence agent design which is known on the field as a base on artificial intelligence. It is why the biggest problem of artificial intelligence is built an agent capable of perceiving the different elements around it and take action on the consecution of those elements.

For sure, all the agents have a different way to act according to their programming. It can be planners, designers, reactive agents, or even have complicated neuronal networks similar to humans.

Another amazing fact about this book is the great work they do to cover all the themes about artificial intelligence. They add actualized information to the book and talk about some topics that other books do not.

Within those topics, we can find the neuronal networks, reasoning under uncertainty, the vision of artificial intelligence, robotic, and even philosophy. Besides, these are not the only things that the book talks about because they also want to touch on some novel parts of this science.

One of those parts is the computational learning theory, memory bounded search, Bayesian probabilistic, and others as interesting as well. Besides, it is not just about explaining complicated theories. This book gives as importance to the theory as to the practice. For this reason, the reader is going to be able to understand and apply the knowledge.

Parts of the book.

Parts of the Book
Parts of the Book

Artificial intelligence.

In the first chapter, the book talks about the general aspects of artificial intelligence. For sure, we cannot pretend to run before the walk. It is imperative first to understand the basics of artificial intelligence before immersing in the sea of knowledge that it involves.

After, an introduction about the theme and the book, chapter one also talks a little bit about the history of artificial intelligence. We cannot forget that we have to know where we come from to know where to go.

Also, there is a special section on this chapter dedicated to recommending the proper bibliography, summary, and exercises that can be useful at the time to understand the theme. It is necessary to take our time to read carefully this chapter so do not to be confused with the next chapters, topics, and elements of the book.

Besides, in this chapter, they also include the structure of the intelligence agents. But, more than the structure, they explain in this part all the points related to those agents. Also, there is a part that explains the concept of rationality which is very important to tons of professionals in this field.


The second chapter keeps moving to the deepness of the theme and talks about problem-solving. It is divided into four more sections where the reader is going to see the different searching types to solve the problem. At the beginning of this chapter, they start with the basics, which means problem-solving by searching.

In general lines, the problem-solving by searching sub-chapter talk about the influence on the problem-solving agents in the process of finding the solution. But, sometimes we cannot determine which is the problem. For this reason, they added a section with example problems to make things easier for all the readers.

However, it is not the only theme of this chapter; they also talk about the beyond classic search. It is more about the optimization of the problems and the creation of algorithms. Besides, an interesting topic in this sub-chapter is the way they aboard the search by nondeterministic actions.

Also, there is a section dedicated to the adversarial games search that consists of games. It could sound a little bit weird, but this topic is important aboard the optimal decisions in games and the stochastic games. It is a new way to see the problem-solving of artificial intelligence from an alternative approach.

Knowledge, reasoning, and planning.

Knowledge, reasoning, and planning.
Knowledge, reasoning, and planning.

When we jump to the next chapter that is the knowledge, reasoning, and planning, we find a different scenario because this chapter is based on logic. From the beginning, they explain to us all about the logic agents and the different kinds of logic that we need to know.

After talking about the logic agents, they immerse us in the first-order logic with all the syntax and semantics to be able to apply it. But, it is not the only topic in this chapter because they also dedicated a part to explain how planning has to work.

On this planning part, they added a section about the time, schedule, and resources that we need to start our planning stage on the artificial intelligence process. To end this chapter, the authors explain the knowledge representation which explains a little bit more about the details we need to know of artificial intelligence.

But, this knowledge is beyond the concepts of artificial intelligence because they are dedicated to explaining ontological engineering, reasoning systems for categories, and even the internet shopping world. Any knowledge is useful even if we think it does not because any small element of knowledge form part of all.

Uncertain knowledge and reasoning.

In the same way that exists the knowledge, it also exists the uncertainties which we need to understand. There are too many things in life that we cannot determine with certainty. For this reason, some strategies are going to let us try to give a number of a determination to this unknown information.

One of those strategies or sciences is probabilistic which is a science dedicated to studying the probability that a determined event happens or not under a set scenario. In this way, the authors explain to us probabilistic reasoning so we can apply them to reality.


Learning is the fifth chapter, and at this point, we are very deep inside of the knowledge sea. For this reason, it is necessary to remember all the things from the previous chapters to be able to understand this perfectly.

The learning chapter tries to give us all the information related to learning from examples. It means all the different learning processes we can imagine from different views. Within this process and strategies, we find the learning decision tree, ensemble learning, support vector machine, practical machine learning, and so much more.

Communicating, perceiving, and acting.

Communicating, perceiving, and acting.
Communicating, perceiving, and acting.

Finally, the last chapter is about the communicating, perceiving, and acting processes related to artificial intelligence. The authors tried to explain in this chapter first of all the natural language processing. It is necessary to understand how we need to process the language and extract the information.

Besides, the next section tries to keep more on the natural language for communication. After all, it is very important to handle the phrase structure grammar to avoid mistakes and issues at the time to program the artificial intelligence equipment.

Also, it is important to the part of the perception because it is an essential part of the interpretation. The perfect artificial intelligence can perceive the things in its environment to act according to the elements around it.

In the end, like a perfect final to close the cycle of knowledge, they give of a section dedicated to the robotic. After all, the knowledge about robotics is those who are going to let us build and materialize artificial intelligence.

Artificial intelligence: an imminent reality.

As you can see, artificial intelligence: a modern approach is a complex book that tries to spread to all the people the knowledge related to artificial intelligence. More than just theory, all the information contained on its pages can be extrapolated to the reality that we live in. For this reason, it is the best book to study artificial intelligence.

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