A discussion on computers and the human mind
Activities like entrepreneurship with their detailed future scenario envisioning and planning are beyond what computers can do right now.
For a computer to perform the selection sort algorithm, for example, it would have to be described in terms of much simpler primitive steps than the version offered here.
Is the human brain more productive than a computer
That is, perhaps it is the case that the highest levels of mentation cannot be described in computational terms, but some lower level can. We spoke to each other in silence, rehearsing a scene as old as mankind itself. The computer is faster at doing logical things and computations. For example, facial recognition technology has been achieved using a variety of generalized pattern-matching techniques. Humans are also very good at recognizing patterns. This routine can be considered a sub-procedure of the original algorithm. In this understanding, the brain must contain some basic functional unit whose operations enable the implementation of the procedures of the mind.
Properly understood, the first question underlying the AI debate is: Can the properties of the mind be completely described on their own terms as an algorithm? If one pathway in the brain is damaged, there is often another pathway that will take over this function of the damaged pathway.
The human brain is not designed for routine symbolic information processing such as basic math, so computers were able to take over that department quickly. How does the brain achieve that?
Human brain vs computer which smarter
Areas in which the brain is still dominant Creativity Frontal Lobe Creativity can be defined as the production of new ideas, artistic creations or scientific theories beyond the current paradigms. Chudler All Rights Reserved. You can study a computer system at any level of description and explain the entire behavior of that level solely in terms of causes from that level. Keep going until you have no unsorted books left. Emotions not only serve as in the moment regulators, but also allow to very effectively predict the future by simulating scenarios on the basis of the emotions they evoke. Both transmit information. While we continue to gain understanding in the fields of biology and computer science, we may encounter a fundamental obstacle before we can ever create a self-aware machine. For example, information represented by an individual neuron may be noisy say, with a precision of 1 in Over the past decades, engineers have taken inspiration from the brain to improve computer design. A classic example of pattern recognition is face recognition. The spike in neuronal axons is also a digital signal since the neuron either fires or does not fire a spike at any given time, and when it fires, all spikes are approximately the same size and shape; this property contributes to reliable long-distance spike propagation. We are capable of recognizing faces in a variety of contexts.
On the one hand, arguments against strong AI, both moral and technical, typically describe the highest levels of the mind — consciousness, emotion, and intelligence — in order to argue its non-mechanical nature. Black box programming creates hierarchies of tasks in this way.
But what if the neuron is not a black box? Each level of the hierarchy typically corresponds to a differing degree of complexity in the instructions it uses. Probably it would need to start with emotion and executive function.
based on 112 review