The potential of artificial intelligence is undeniable and, it seems, will change the current computing paradigm in many ways and fields: medicine, driving, marketing and advertising, human resources, customer service…. But how does a computer learn to respond to a user? How does a smart vehicle know to brake or accelerate? The answer is in the algorithms. The famous algorithms are responsible for the autonomy achieved by artificial intelligence. How are the algorithms programmed? What types of algorithms are there? In this article we want to focus on two key points when programming artificial intelligence: algorithms and programming languages .
Algorithms and languages: keys to programming artificial intelligence
Types of algorithms and languages ??for programming artificial intelligence
An algorithm is a set of computer instructions that a machine receives to perform an action or solve a problem. Thus, an algorithm has a beginning or input (input) and an end or output (output) and it is, between these two points, where the “magic” is generated. But what can we expect from them? What attributes do algorithms have, capable of solving more or less complex problems? Mainly, there can be four: deduction, search, classification and communication.
Reasoning and deduction algorithms
Concepts such as reasoning or deduction are based on a key principle that encompasses them: logic . To the languages ??to program artificial intelligence , like Prolog , the programmer only has to contribute certain logical rules so that the algorithm is able to reason and deduce the solution .
For example, could artificial intelligence help solve the perennial problem about the time change in Spain? The programmer would provide information such as the temperature or electricity consumption during a period of time and the algorithm could deduce if the time change would result in savings for consumers and companies or not.
Search algorithms
The programming of these algorithms is what makes it possible for a computer to find, for example, “how to learn Mandarin Chinese” in 0.47 seconds and provide 715,000 results. And if there are some really famous algorithms, these are the search algorithms, like those used by the giant Google. The way they predict searches is really amazing. Google or Facebook use Haskell as a language to program artificial intelligence that, despite being very powerful, it seems that companies do not usually choose it for their projects.
Classification algorithms
Although the word “algorithm” is very much in vogue today, we have actually been in contact with them for a long time. Without going any further, we see it every day in our email inbox. Gmail, Hotmail or Yahoo algorithms classify emails according to whether or not they are spam, if they should go to one folder or another. In addition, they learn and become more precise as the user performs specific actions.
Other types of classification, this time more novel, are those capable of cataloging images . The Program R language (free, in addition) was created to be able to classify images of animals to provide information about animal species at a speed of 2,000 images per minute.
Communication algorithms
It is likely that when you put together “algorithm” and “artificial intelligence” you will quickly think of ” chatbots “. And it is not surprising: communication algorithms aim to be able to maintain fluid and natural communication with the user and provide solutions to their problems , just as the human being would.
Python or Java are some languages ??for programming artificial intelligence that are widely used in this regard. In fact, work is being done so that the fluidity and naturalness of chatbots is as perfect as a human-to-human communication would be.
One of the conclusions we can reach after analyzing algorithms and languages ??for programming artificial intelligence is their ability to learn and relearn . Algorithms are truly intelligent and have the ability to incorporate user behaviors to give increasingly accurate results. Are you interested in this topic? Have you been wanting more information about algorithms? We recommend reading this post , based on machine learning predictions.