Do Computers Have Human Mind?

Do Computers Have Human Mind?

Abstract

The aim of this piece of study is to talk about the thought that computers have human mind. It is a general perception of most of the people that computers are much faster as compared to human brains. It is also assumed that computers have the capability to perform countless number of calculations much faster than human brain. They have the power and capability to work on numerous logical calculations without the risk of errors. However, there are critics also who don't agree with the fact. This paper will highlight the facts that show discussion on the capability of computers to match human mind.

Introduction

Computers are the machines with having flawless accuracy, much faster than human brains, and with less or minimum ratio of errors. However, there are certain point of discussions that show similarities and differences between human minds and computers. The question arises is that do computers really superior as compared to human brains and possess human minds? Are they really comparable to human brains in terms of power, processing, ability and adaptability? The following discussions aim to highlight all these points. Unlike the human brain, computers memory functions separate from those of computational software and use the data or programs to join them for data. The bottleneck caused by a data processor using one to one saturation of traditional computing. On the other hand, the brain receives and processes information flows coming from the senses, unifying memory and processing unit. Generally, computers rely on a central processing unit (CPU) to perform each task in the process, making a step at a time and only one. The processors in "parallel" (also called concurrent) reinforce the processing power, working with several central units simultaneously to reduce the bottleneck, but this type of processing in "parallel" has not been widely accepted due to the communication problem between said processing units. The machines work very well using each processor to a different task, that is, that in fact it has solved the problem for partitioning scientific problems. But they have established principles that tell us how to automate the arduous manual tasks to partition any real-life problem, so the way to work is to divide the tasks to assign each to each processor, thus using many processors.

Discussion

Trying to simulate the human brain functions, artificial intelligence (AI) has tasted success in non-critical issues. Expert systems, for example, are computer programs that encapsulated information from a specialized domain. Unfortunately, expert systems require knowledge engineers smart enough to specify an answer to every possible circumstance to which the system can cope. In a closed environment, where there are clear-cut answers to every question, if possible. In the real world, it would take an exceptional programmer to anticipate any combination of circumstances to which the system may face (Moravec, 1997).

An expert system, when taken out of its narrow and well defined scope or domain for which it was designed, invariably fails. Some researchers believe that increased computing power can ...