Introduction to Artificial Intelligence

INTRODUCTION TO ARTIFICIAL INTELLIGENCESYNTHETIC
INTRODUCTION
Artificial Intelligencesynthetic (AI) is the branch of Computer Science that studies the softwareprogram and hardware necessary to simulate human behavior and understanding. The ultimate goal of AI is
to simulate human intelligence in a machine by creating robots that are self-aware and have real feelings, similar to humans. One of the most difficult problems is the simulation of consciousness, a human quality that makes us aware of our own existence.
OBJECTIVE
The following class aims to understand what Artificial inteligencia artificial online Intelligencesynthetic is and the famous Turing test.
WHAT IS ARTIFICIAL INTELLIGENCESYNTHETIC?
We have proclaimed that AI is exciting, but we have not said what it is. The Figure below presents synthetic artificial intelligence definitions taken from eight textbooks. Those appearing at the top refer to mental processes and reasoning, while those at the bottom refer to behavior. The definitions on the left measure success in terms of fidelity to human ways of acting, while those on the right take as a reference an ideal concept of intelligence, which we will call rationality. A system is rational if it does 'the right thing', based on its knowledge.
Throughout history, the four mentioned approaches have been followed. As expected, There is a confrontation between human-centered and rationality-centered approaches. The human behavior-centered approach must be an empirical science, that includes hypotheses and confirmations through experiments.
The rational approach involves a combination of mathematics and engineering.
Each group has at the same time ignored and helped the other. Next we will review each of the four approaches in more detail.
TURING TEST
The Turing Test proposed by Alan Turing (1950), was designed to provide an operational and satisfactory definition of intelligence. Instead of providing a long and possibly controversial list of qualities necessary to achieve artificial intelligence, he suggested a test based on the inability to differentiate between indisputably intelligent entities and human beings. The computer passes the test if a human evaluator is not able to distinguish whether the answers, to a series of questions posed, are from a person or not. Today, we can say that programming a computer to pass the test requires considerable work. The computer should possess the following capabilities:
Pure natural language processing: which allows it to communicate satisfactorily in English.
Knowledge representation: to store what is known and felt.
Automated reasoning: to use the stored information to answer questions and draw new conclusions.
Machine learning: to adapt to new circumstances and to detect and extrapolate patterns.
The Turing Test deliberately avoided direct physical interaction between the evaluator and the computer, since to measure intelligence it is unnecessary to physically simulate a person. However, the so-called GlobalInternationalWorld Turing Test includes a video signal that allows the evaluator to assess the evaluated subject's perceptual ability, and also gives the evaluator the opportunity to pass physical objects 'through a window'.
To pass the GlobalInternationalWorld Turing Test the computer must be equipped with
Computer vision: to perceive objects.
robotics: to manipulate and move objects.
These six disciplines cover most of AI. In the following image the test can be seen:
CONCLUSION
Gracias a la inteligencia artificialsynthetic se ha logrado que una maquina sea capaz de desarrollar áreas de conocimiento muy especificas y complicadas, Making it possible for the machine to simulate processes that humans perform. But it is worth noting that a machine has not yet been able to think like a human, pienso que una limitación es el hecho de que el hombre es irreemplazable ya que el ser humano cuenta con una característica propia el cual es el sentido común.
But we cannot forget that the development of these technologies does not intend to replace the human being, but rather tries to improve the human being's lifestyle, since let us remember that, por lo menos los robots hacen que el trabajo pesado sea mas fácil de realizar, and that a machine does not get sick, nor protests, nor gets tired, and this can increase its usefulness. Anyway, let us hope that these technologies do not get out of hand, and that they do not harm us, but rather help us.
En cuanto a la Prueba da Alan Turing es lo mejor que se ha inventado para saber si es no una maquina, pero como el lo dijo: “Algún día Pasaran el TestCheckTake a look at que yo mismo he planteado”, así fue.
BIBLIOGRAPHY
S Russel y P Norvig. 2004, Introducción a Inteligencia Artficial. (Online). EC. Consulted, 2 de Julio. 2014. PDF Format. Available in: =1KNK0LDJ7-245BJ2V-19GR/Russell percent percent 20 Y percent percent 20 Norvig percent percent 20 Artificial Intelligence percent percent 20 A percent 20 Approach
Penrose R. The Emperor’s New Mind Thoughts. Concerning Regarding Computers Computer Systems, Minds, and the Laws Legal Guidelines of Physics. Vintage Classic 1989. (There is a translation into Spanish of this work by the publisher Mondadori in 1991).
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