What are the differences between artificial intelligence and expert systems?

artificial intelligence It has become one of the most important and attractive topics for a large number of people. However, there is another good part of them that still are not familiar with the subjectThey don’t even know what their limitations are.

But what can be said is that all this has become one of the most important technological advances in recent times. This is how the artificial intelligence It is able to change everything in a very simple way. thus achieving a large amount of benefits to humans.

Bearing in mind that this is a topic that still sounds something unknown to many here we are going to teach you a little more about this new technology Y what are its main differences with respect to expert systems. To do this, follow in detail everything that we are going to show you in this post.

Main characteristics of artificial intelligence and how it works?

Also known as AI, and is that part of computing dedicated to the creation and design of machines that they are able to have a intelligent behavior similar to or superior to that of humansthis is how this type of machines can reach limit what is the functioning of the human mind. All this has led it to be defined as the science of the artificial.

In the same way, it is considered as a set of technologies that is responsible for create an adaptation to what it is the environment, the reasoning and the representation of various living species such as humans and animals. To do this, they create a kind of imitation that can be much superior and more advanced than the real thing.

Therefore, artificial intelligence develops from mathematical and learning algorithms, that allow applying all the data that is necessary for their correct operation. This means that AI works from algorithms and data where, thanks to them, they can carry out the following processes:

• Allow identify problems more important.
• Can predict the future through a statistical system where part of known facts.
• When the system has all the data at your disposalproportional to most viable solution to solve the problem. Thus, the AI you’ll know how solve this problem the next time something similar happens.
• Analyze past situations to study all available variables with respect to the problem that is occurring at the time.

Types of artificial intelligence How is this technology classified?

artificial intelligence continues to become a technological phenomenon which is becoming more and more important and interesting for humansdespite the fact that currently the media do not give much information about what this technology from the future.

All this has been developed in order to improve the living environmentfor this there has been an experiment very fast evolution from all of this. That is why here we are going to show you how all this is classified, follow each one of types of AI which we will explain below:

Systems that act like humans

The systems that act like human deal specifically with mimic human behavior. This is how some studies have achieved that computers can do jobs that humans do and all this is also known as the robotic.

Systems that think like humans

These systems are basically responsible for being able to emulate people’s thinking, they do this through artificial neural networks. In this case, all those activities that are linked to the processes of individual learning, how they end up being problem solving, decision making or learning.

Expert systems

In the case of expert systems, they are software that is responsible for emulate what is the behavior of a human being in the solution of a specific problem. This allows the machine to improve quality and speed in the response thus allowing a productive improvement in its action.

Therefore, this system is based on norms and rules that has already predefined knowledge that is used to take future case decisions. That is how the solution of the problem looks raised with previously applied solutions.

robots

The robots have become one of the most fundamental parts of what is the AI, this is how these devices have become a improvement in people’s lives. As has already been seen, there are some robots that are capable of help improve the quality of life of the elderly or people with physical disabilities, provide support to injured people or people with chronic pathologies.

All this is also known as the side more human than artificial intelligence.

So how is artificial intelligence different from expert systems?

It is important to clarify that there is no difference between artificial intelligence and expert systems, since these are a type of AI. In any case, the AI is nothing more than that technology that is responsible for developing machines that can acquire what is intelligent behavior. Which also translates into the study of how to make the computers you can do things they do the humans, but for the moment humans are better.

In the case of expert systems, they are programs smart computing who are in charge of use knowledge and procedures to resolve any issues that requires human experience to fix it.

What are all the tasks that an expert system can perform?

the expert system specializes primarily in its ability to perform different tasks, this is how we are going to teach you here what are the main tasks that are developed in this type of artificial intelligence.

To do this, follow each of the tools that we will teach you below:

• Monitoring: These types of activities are about the continuous interpretation and comparison of the values ​​of the signals or what is also the input data. All these values ​​act as normality criteria or standards. This is how in the field of maintenance expert systems are used as a tool of diagnosis.

All this allows the program to be able to determine at any time the state in which the operation of the complex systems, managing to anticipate the possible accidents that could occur. Therefore, if you use a computational model of human reasoningprovides the same results that would be achieved with such an expert.

• Design: Design It is a process that allows detailing what is the description of a product that satisfies different features from number of knowledge sources. Thus, it is divided into different forms:

engineering design is used for scientific principles, machine or system that develops functions on the economy and efficiencyas well as for the technical information and for the definition of the mechanical structure.

industrial design is the one that aims ratify engineering omissionsall this allows us to offer a form or visual order to hardware engineering where the technology does not offer these characteristics. So all of this is seen as a form of find a workable solution to a problem.

In the case of external solutions they can be known in advance or generated automatically trying different designs to see which of them meet user requests. All of this is known as “Build and test”, it is because of that design expert systems are also known as “of selection”.

• Planning: This is what makes it possible to follow a sequence of actions or one realization of plans that have created in advance. All of this is made up of a control system and a simulator. Therefore, the final effect of all this is the Order the actions correctly so that the ultimate goal can be met.

However, this type of task usually presents some problems such as the following:

In general, they usually find many considerations that must be valued. In addition, there are unforeseeable consequencesthis means that you need to test and try several plans to see which one works, in the same way, usually interactions exist between the various subjective plans to be chosen without any commitment. And finally, this type of task usually work with uncertainty since most of the data may be probable, but not certain.

• Control: East control system participate in what is performing interpretation, sequential repair and diagnostic tasks. All this allows you to guide a process correctly. These systems are usually a bit complex to understand due to the large number of functions they must perform, as well as the large number of factors that must be taken into account.

Thus, control systems are considered as a open loopwhich allows the passage from one process to another performed by the operator or as a closed loop where the operator does not intervene anywhere.

• Simulation: Is simulation technique has the purpose of being able create different models that are based on facts, interpretations in the computer, to study their behavior by observing the outputs for a set of inputs or for the observations.

In the case of expert systems in the simulation tasks they have traditional techniques that require mathematical models and logical, which will allow describing the behavior of the system under study. All this is motivated by the ability to simulate the behavior of a human expertwhich is also a complex process.

In the case of these SE tasks, it is essential that five possible configurations can be differentiated, which we present to you:

• It is able to have a simulator to be able to check the possible solutions and in such case rectify the following process.
• The I KNOW are able to control a simulation process.
• It is able to contain itself as a part of the SE, that is why the SE does not necessarily it has to be simulation.
• expert systems can be used as mask or frontal system of a simulator with the aim that the user can receive a justification of the process.
• The SE can be used as a simulation system or user advisor.
• Instruction: In this case, it is about tracking the learning process. This is how the system handles detect errors either about a person’s knowledge or to identify the right remedy. In this way, it is mainly in charge of being able to create a plan that facilitates the learning process and at the same time applies the correction of errors.
• Recover of information: And finally, we find what is information retrievalin this case I know have a capacity to be able toCombine the information with the rules of actionthis is how these systems have been seen by the majority as a possible solution for data recovery. The difference that can be found between these systems with traditionalis that these traditional systems they are only able to retrieve information that exists explicitly.

Quite the opposite happens when it comes to a I KNOWsince it is capable of generate information not explicit, just reasoning with the items you have available. In the case of information retrieval ability No limited to recovery which allows you to go much further than traditional systems.

In this way, these systems are frequently used to help the user, to filtering responsesfor selection of information resources, among many others. This is how you can current as a clever broker that supports the user’s work final.