Artificial intelligence It has become one of the most important and appealing topics for a large number of people. However, there is another significant portion of them who still They are not familiar with the topicnor do they know what their limitations are.
But what can be said is that all of this has become one of the major technological advances of recent timesThat's how the Artificial Intelligence It is capable of changing everything in a very simple way, thus contributing a great deal of advantages to human beings.
Considering that this is a topic that still resonates something unknown to many, Here we're going to teach you a little more about this new technology y What are their main differences compared to expert systems?To do this, carefully follow everything we're going to show you in this post.
What are the main characteristics of artificial intelligence and how does it work?
Also known as AI, and it is that part of computer science dedicated to the creation and design of machines that are capable of having a intelligent behavior similar to or superior to that of human beingsThis is how these types of machines can reach limiting the functioning of the human mindAll of this has led her to define herself as the science of the artificial.
Similarly, it is considered a set of technologies that is responsible for create an adaptation to what it is the environment, reasoning, and the representation of various living species such as humans and animalsTo achieve this, they create a kind of imitation that may be far superior and more advanced than the real thing.
Therefore, artificial intelligence It develops from algorithms mathematical and learning, which allow the application of all the data necessary for their proper functioning. This means that AI works based on algorithms and data, which allow it to perform the following processes:
- Allow identify the problems more important.
- Can predict the future through a statistical system where part of known data.
- When the system has all the data at your disposal, proportional to most viable solution to solve the problem. Thus, the AI You'll know how to resolve this issue the next time something similar happens.
- Analyze past situations to study all available variables with respect to problem that is occurring at the time.
Types of artificial intelligence: How is this technology classified?
Artificial intelligence It continues to become a technological phenomenon which is becoming increasingly important and interesting for humansAlthough the media currently doesn't provide much information about what this is technology the future.
All of this has been developed with the aim of improve the living environmentFor this purpose, a very rapid evolution of all this. That's why we're going to show you how it's all classified, following each one of types of AI that we will explain below:
Systems that act like humans
The systems that act like a human They deal specifically with imitate the behavior of human beingsThis is how some studies have managed to show that computers can perform tasks that humans do. All of this is also known as the robotic.
Systems that think like humans
These systems are basically responsible for emulating human thought processes; they do this by artificial neural networksIn this case, all activities related to the processes of learning of individuals, as they end up being problem-solving, decision-making, or learning.
Expert systems
In the case of expert systems, these are software programs that are responsible for to emulate the behavior of a human being in solving a specific problem. This allows the machine to improve quality and speed in the response, thus allowing for a productive improvement in their action.
Therefore, this system is based on norms and rules that has predefined knowledge that is used to make decisions in future cases. That is how the solution to the problem it is presented with previously applied solutions.
Robots
The robots have become one of the most fundamental parts of what is AI, This is how these devices have become a improvement in people's livesAs we have seen, there are some robots that are capable of help improve the quality of life of elderly people or people with physical disabilities, to provide support to people who are injured or have chronic illnesses.
This is also known as the side more human of artificial intelligence.
So how does artificial intelligence differ 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 IA It is nothing more than that technology that develops machines capable of exhibiting intelligent behaviorThis also translates into studying how to make it happen. the computers you can do things that do humans, but for the moment Humans are better.
In the case of expert systems, they are programs intelligent computing who are in charge of use knowledge and procedures to solve any problem that requires human experience to solve it.
What are all the tasks that an expert system can perform?
The expert system It specializes primarily in its ability to perform different tasks, That's how we're going to teach you here. What are the main tasks that are performed in this type of artificial intelligence?
To do this, follow each of the tools that we will teach you below:
- Monitoring: This type of activity deals with the interpretation and continuous comparison of the signal values, or what are also called input dataAll these values act as criteria of normality or standardsThis is how it works in the field of maintenance expert systems They are used as a tool of diagnosis.
All of this allows the program to determine at any given moment the state in which the operation of complex systemsmaking it possible to anticipate potential accidents. Therefore, if a computational model of human reasoningIt provides the same results that would be achieved with such an expert.
- Design: The design It is a process that allows us to detail what is the description of a product that satisfies different characteristics based on a number of knowledge sources. In this way, it is divided into different forms:
Engineering design is used for the scientific principles, machine or system that performs functions related to economy and efficiency, as well as for technical information and for the definition of the mechanical structure.
Industrial design is the one whose objective ratify the engineering omissionsAll of this allows us to offer a form or visual order to hardware engineering where technology does not offer these features. Therefore, all of this is seen as a way of to find a viable solution to a problem.
In the case of external solutions can be known in advance or they are generated automatically testing different designs to see which of them meet user requestsAll of this is known as “Generation and testing”, That is why expert design systems are also known as “selection”.
- Planning: This is what allows you to follow a sequence of actions or a implementation of plans that have created in advanceAll of this is comprised of a control system and a simulator. Therefore, the end result of all this is the ordering the actions correctly so that the ultimate goal can be achieved.
However, this type of task often presents some problems such as the following:
They usually find many considerations that should be valued. Furthermore, there are unforeseeable consequencesThis means that you need to test and try several plans to see which one works; in the same way, it usually interactions exist between the diverse subjective plans which should be chosen without any commitment. And finally, this type of task usually working with uncertainty, since most of the Data may be probable, but not certain.
- Control: This control system participate in what is the performance of tasks of interpretation, sequential repair and diagnosisAll of this allows one to guide a process correctlyThese systems are often somewhat 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 step from one process to another performed by the operator or as a closed loop where the operator does not intervene at any point.
- Simulation: Esta simulation technique its purpose is to be able create different models that are based on facts, interpretations on 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 simulation tasks they have traditional techniques that require mathematical models and logicalThis will allow us to describe the behavior of the system under study. All of 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 distinguished, which we present to you:
- Es capable of having a simulator in order to check the possible solutions and if necessary rectify the following process.
- The SE are able to control a simulation process.
- It is capable of being contained as a part of the SE, which is why the SE does not necessarily It has to be a simulation..
- expert systems they can be used as mask or forehead system of a simulator with the aim of providing the user with a justification for the process.
- The SE can be used as a simulation system or advisor for the user.
- Instruction: In this case, it's about tracking the learning processThis is how the system handles detect errors whether about a person's knowledge or to identify the appropriate remedy. In this way, it is mainly responsible for being able to create a plan that facilitates the learning process and also applies error correction.
- Recover of information: And finally, we found what It is information retrievalIn this case the SE They have the capacity to be able to coCombine information with rules of actionThis is how these systems have been viewed by most as a possible solution for information recoveryThe difference that can be found between these systems with the traditional, is that these traditional systems They are only capable of retrieve that information that exists explicitly.
Quite the opposite happens when it comes to a SE, since it is capable of generate information not explicit, simply reasoning with the elements that it has available. In the case of the ability to retrieve information No. It is limited to recovery, which allows it to go much further than traditional systems.
In this way, these systems are frequently used to help the user, to filtering the responses and also to the selection of information resourcesamong many others. This is how one can act as a smart intermediary that supports the work of the end user.
