¿Can machines think?

Let’s start by taking a film as a reference: The enigma code, this is a movie based on the life of Alan Turing, a mathematician who is hired by the United States to solve the enigma code, a code used by the Germans to send secret messages during the first World War. The enigma code in the film represents a challenge to this object that created a code impossible to decipher by humans, Turing initially discovers the way or the principle that the mathematicians in charge of discovering the enigma code needed to find the hidden messages among the Germans. But what leads me to think is that a set of wires and cables can think, is when you enter the letters that define in code in this machine that makes up a column and begins to process to such an extent that this device deciphers the code, and It needs to process multiple algorithms that a human could not analyze in such a short time. The machine manages to facilitate a response that they would have delayed in discovering much longer.

To understand if the machines really think, I must analyze, which is a machine ?, It is a mechanism that acts because a human being programs it to fulfill a function, equally serves and facilitates a process for the human being, through mathematics or algorithms machines perform functions but can reach the point of being improved by themselves and achieve goals that a human being would not achieve, calculating possibilities and movements like Deep Blue, this was a computer designed to play chess against Garry Kasparov, which will not win initially it was improved analyzing the strategy and movements of Kasparov to win him in his second game of chess, in this same way the machines fulfill functions that to us are difficult to us and already the machine is able to know how to fulfill a function, for me this reflects that a machine is capable of analyzing steps and movements by itself that allow it to achieve its goal.

Machines think because they are programmed by a human being, but by means of algorithms and mathematics we could say that the same artifact is capable of performing several functions not necessarily those that were initially programmed, one of the risks of artificial intelligence is that I got to surpass the human intellect, since there are functions that they fulfill for us and that were programmed to do them because we do not have the capacities to do it or because humans have a greater margin of error than a machine could have. As we now trust that a machine will protect us without knowing what window has been left open for an artifact to exceed human capabilities and control itself.

One of the main elements that make reality the idea that a machine works and that possibly comes to think are the mathematics, these are the ones that have helped to form the algorithms that gives life or the initial function to an artifact, likewise, the machines they can identify codes that were used for them to function, so that they evolve their functions and surpass functional expectations on the part of humans. Generally, programming leaves a margin of number of functions that a machine will meet but in this way if the solutions that it can give can be applied to another problem the same machine will analyze and give a solution expanding its knowledge itself.

We could say that the main argument against the thesis is that the machines only work if they are programmed by the human being, but they alone are not able to fulfill a function if they have not been programmed for this, taking an argument from Elliot King : “No matter how clever the algorithms, the data used to train machine learning systems and predictive modeling applications must be correct for the system or model to function effectively” [1] In this statement Lauree Padgett makes us aware of King’s position on operation of the machines and as without an algorithm or a correct function determined by a human being the machines could not act or fulfill the goal assigned to them, they could not act on their own and for this reason they could not think of it way, not in a different way than humans.

If human beings program machines to work, we must provide them with our knowledge so that they understand the problems they face, the idea of ​​understanding and understanding by a machine awakens uncertainty in how a machine develops knowledge by itself and he can analyze it, for me he does it in the same way as a human being, because by means of the functions and the mathematics programmed by a human being, the machine analyzes how the human intellect works, how we analyze the problems. Even scientists often say that the machine needs abstract knowledge to be able to think like the human being, according to the Helsinki University: “Mathematical concepts provide a key to the philosophy of abstract thinking” [1], this leads us to think that we have given tools to the machines to analyze the human intellect until reaching the point of thinking like us, identifying what solutions human intuition would give.

The machines are programmed by us, which leads some theoreticians to think that without us the artifacts do not work, but if we program a machine with our knowledge to facilitate our life, eventually the machine manages to analyze how analysis and human intuition work. that allows them to think like us, but there is something clear and they can not feel like us, the machine can understand the meaning of the emotion can program it to cry, laugh, scream, embrace, but something that is undeniable to the HUMAN BEING , IS TO LIVE AND FEEL THE EMOTION IN YES.

DeepBlue

[1]Vadim Kulikov. (2017). Can a ma­chine ever learn to think ab­stractly like hu­mans?. 24 de Febrero de 2019, de University of Helsinki Sitio web: https://www.helsinki.fi/en/news/data-science/can-a-machine-ever-learn-to-think-abstractly-like-humans

[1]Padgett, Lauree. “AI: Is It More ‘Artificial’ or Intelligence’?” Information Today, Jan.-Feb. 2019,p.21. AcademicOneFile,http://link.galegroup.com.ezproxy.utadeo.edu.co:2048/apps/doc/A574770581/AONE?u=utadeo&sid=AONE&xid=f600f01c. Accessed 24 Feb. 2019. Base de datos Biblioteca utadeo GALE Academic One File

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