Philosophy of Artificial Intelligence
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document in english
social sciences
school essay
date published 22/10/2007
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SummaryThe concept of Artificial Intelligence has fascinated humans for as long as computers have been around. It should come as no surprise that countless engineers, programmers, and researchers are intensely studying AI in an attempt to create intelligent machines that can mimic human thought and behavior. Jeff Hawkins, the author of “On Intelligence,” praises their efforts but believes that ultimately, they cannot possibly be successful using their current methods.
Hawkins believes that the underlying principle of creating an intelligent machine is understanding human intelligence. It is impossible to create a machine that can think or act like a human being if that machine does not follow the principles of intelligence that humans follow. Unfortunately, scientists in this field have not focused on understanding human intelligence, but rather, they have concentrated their efforts on writing computer programs that would first match and then surpass human abilities. The problem with this approach is that although AI machines can learn many functions and even surpass human speed and ability in calculating them, these machines cannot understand the connectivity between various tasks and they cannot analyze them from a general scope. The machine will basically be calculating difficult formulas and functions, but it does not have any intuition to actually understand the significance and meaning of the functions that it is undertaking.
Hawkins believes that the underlying principle of creating an intelligent machine is understanding human intelligence. It is impossible to create a machine that can think or act like a human being if that machine does not follow the principles of intelligence that humans follow. Unfortunately, scientists in this field have not focused on understanding human intelligence, but rather, they have concentrated their efforts on writing computer programs that would first match and then surpass human abilities. The problem with this approach is that although AI machines can learn many functions and even surpass human speed and ability in calculating them, these machines cannot understand the connectivity between various tasks and they cannot analyze them from a general scope. The machine will basically be calculating difficult formulas and functions, but it does not have any intuition to actually understand the significance and meaning of the functions that it is undertaking.
Table of Contents
- Hawkins believes that the underlying principle of creating an intelligent machine is understanding human intelligence.
- The problem with this approach is the fact that the mind and intelligence is overlooked.
- Hawkins explains in detail his theory about how the mind works.
- To continue in this direction, Hawkins states, 'Prediction is the primary function of the neocortex, and the foundation of intelligence?
- The predictions made by our minds are essential to our behavior, our decisions, and our emotions.
- Certain technical problems would have to be overcome, however, in order for such an AI machine to properly function.
- Creating AI is a goal that many scientists are striving to achieve, and the ideas proposed by Hawkins should be considered by anyone with a serious interest in the field.
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