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The Mind of a Computer
A new issue has come about since the building of computers. But the idea behind it is not such a new issue, for as long ago as Plato and Aristotle, the idea of a mind was pondered about. With the up-and-coming technology, the idea of artificial intelligence has exploded. It is one that many fiction writers have prospered on. But how far away are they from the truth? Take the story of The Bicentennial Man by Isaac Asimov, written in 1976, when most of the population didn’t know what a computer was capable of. The idea of the unknown scared us, a robot that appeared to be just like us, but it was also intriguing, as demonstrated by the story’s success. What was it that attracted the population to this story? The reasonable answer lies within the question this paper will attempt to answer. That is, Can a computer have a mind? The answer to this question is an obvious one, but we will examine it anyway, as it needs to be addressed because of all of the popular science-fiction writings. A computer can have a mind, and as you read further into this, you will see that computers are made of the same things we are, they transfer information using the same techniques we do, they are complex enough, and they are aware. This is enough to give them the possibility to posses a mind. Starting with the first part of the definition of mind, one might conceive of a computer that can posses a mind. The Biologist might make an argument against me, stating that only living things can have mind, that it is only those things that are biological, consisting of organic compounds, that may have the potential to posses mind. But I say to the Biologist, what is it that makes up these organic compounds? What is it about these molecules that make them construct themselves into a biological being? The answer is a simple one to any Chemist, for he knows that organic molecules are made up of elements and these elements are indeed atoms. The Physicist will most definitely agree that these atoms are made up of protons, neutrons, and electrons. These protons, neutrons, and electrons are what make up every atom in the universe; the same three particles come together and form all the materials known to man.
Andy Clark strongly argues for the theory that computers have the potential for being intelligent beings in his work “Mindware: Meat Machines.” The support Clark uses to defend his claims states the similar comparison of humans and machines using an array of symbols to perform functions. The main argument of his work can be interpreted as follows:
In this paper I will evaluate and present A.M. Turing’s test for machine intelligence and describe how the test works. I will explain how the Turing test is a good way to answer if machines can think. I will also discuss Objection (4) the argument from Consciousness and Objection (6) Lady Lovelace’s Objection and how Turing responded to both of the objections. And lastly, I will give my opinion on about the Turing test and if the test is a good way to answer if a machine can think.
The official foundations for "artificial intelligence" were set forth by A. M. Turing, in his 1950 paper "Computing Machinery and Intelligence" wherein he also coined the term and made predictions about the field. He claimed that by 1960, a computer would be able to formulate and prove complex mathematical theorems, write music and poetry, become world chess champion, and pass his test of artificial intelligences. In his test, a computer is required to carry on a compelling conversation with humans, fooling them into believing they are speaking with another human. All of his predictions require a computer to think and reason in the same manner as a human. Despite 50 years of effort, only the chess championship has come true. By refocusing artificial intelligence research to a more humanlike, cognitive model, the field will create machines that are truly intelligent, capable of meet Turing's goals. Currently, the only "intelligent" programs and computers are not really intelligent at all, but rather they are clever applications of different algorithms lacking expandability and versatility. The human intellect has only been used in limited ways in the artificial intelligence field, however it is the ideal model upon which to base research. Concentrating research on a more cognitive model will allow the artificial intelligence (AI) field to create more intelligent entities and ultimately, once appropriate hardware exists, a true AI.
John Searle’s Chinese room argument from his work “Minds, Brains, and Programs” was a thought experiment against the premises of strong Artificial Intelligence (AI). The premises of conclude that something is of the strong AI nature if it can understand and it can explain how human understanding works. I will argue that the Chinese room argument successfully disproves the conclusion of strong AI, however, it does not provide an explanation of what understanding is which becomes problematic when creating a distinction between humans and machines.
At some point in our lives, we have wondered about the possibility of a computer being able to think. John Searle addresses this issue in his paper, “Can Computers Think?”, where he argues that computers cannot think because they are directed by formal information. This means that the information presented is only syntax with no semantics behind it. In this paper, I will elaborate more on Searle’s position and reasoning whilst critiquing his argument by saying that it is possible to derive semantics from syntax. Finally, I will analyze the significance of my criticism and present a possible response from Searle to defend his argument.
Artificial Intelligence (AI) is one of the newest fields in Science and Engineering. Work started in earnest soon after World War II, and the name itself was coined in 1956 by John McCarthy. Artificial Intelligence is an art of creating machines that perform functions that require intelligence when performed by people [Kurzweil, 1990]. It encompasses a huge variety of subfields, ranging from general (learning and perception) to the specific, such as playing chess, proving mathematical theorems, writing poetry, driving a car on the crowded street, and diagnosing diseases. Artificial Intelligence is relevant to any intellectual task; it is truly a Universal field. In future, intelligent machines will replace or enhance human’s capabilities in
For years philosophers have enquired into the nature of the mind, and specifically the mysteries of intelligence and consciousness. (O’Brien 2017) One of these mysteries is how a material object, the brain, can produce thoughts and rational reasoning. The Computational Theory of Mind (CTM) was devised in response to this problem, and suggests that the brain is quite literally a computer, and that thinking is essentially computation. (BOOK) This idea was first theorised by philosopher Hilary Putnam, but was later developed by Jerry Fodor, and continues to be further investigated today as cognitive science, modern computers, and artificial intelligence continue to advance. [REF] Computer processing machines ‘think’ by recognising information
Artificial Intelligence is a term not too widely used in today’s society. With today’s technology we haven’t found a way to enable someone to leave their physical body and let their mind survive within a computer. Could it be possible? Maybe someday, but for now it’s just in theory. The novel by William Gibson, Neuromancer, has touched greatly on the idea of artificial intelligence. He describes it as a world where many things are possible. By simply logging on the computer, it opens up a world we could never comprehend. The possibilities are endless in the world of William Gibson.
Since antiquity the human mind has been intrigued by artificial intelligence hence, such rapid growth of computer science has raised many issues concerning the isolation of the human mind.
Summary- This book expert describes the fundamentals, history, and changes associated with Artificial Intelligence from 1950’s onward. The book provides a basic explanation that Artificial Intelligence involves simulating human behavior or performance using encoded thought processes and reasoning with electronic free standing components that do mechanical work.
The traditional notion that seeks to compare human minds, with all its intricacies and biochemical functions, to that of artificially programmed digital computers, is self-defeating and it should be discredited in dialogs regarding the theory of artificial intelligence. This traditional notion is akin to comparing, in crude terms, cars and aeroplanes or ice cream and cream cheese. Human mental states are caused by various behaviours of elements in the brain, and these behaviours in are adjudged by the biochemical composition of our brains, which are responsible for our thoughts and functions. When we discuss mental states of systems it is important to distinguish between human brains and that of any natural or artificial organisms which is said to have central processing systems (i.e. brains of chimpanzees, microchips etc.). Although various similarities may exist between those systems in terms of functions and behaviourism, the intrinsic intentionality within those systems differ extensively. Although it may not be possible to prove that whether or not mental states exist at all in systems other than our own, in this paper I will strive to present arguments that a machine that computes and responds to inputs does indeed have a state of mind, but one that does not necessarily result in a form of mentality. This paper will discuss how the states and intentionality of digital computers are different from the states of human brains and yet they are indeed states of a mind resulting from various functions in their central processing systems.
From the first imaginative thought to manipulate nature to the development of complex astronomical concepts of space exploration, man continues to this day to innovate and invent products or methods that improve and enhance humankind. Though it has taken 150 million years to reach the present day, the intellectual journey was not gradual in a linear sense. If one were to plot significant events occurring throughout human existence, Mankind’s ability to construct new ideas follows a logarithmic path, and is rapidly approaching an asymptote, or technological singularity. This singularity event has scientists both supporting and rejecting the concept of an imaginative plateau; the largest topic discussed is Artificial Intelligence (A.I.). When this technological singularity is reached, it is hypothesized that man’s greatest creation, an artificial sapient being, will supersede human brain capacity.
A.I. Artificial Intelligence is a Steven Spielberg science fiction drama film, which tells the story of a younger generation robot, David, who yearns for his human mother’s love. David’s character stimulates the mind-body question. What is the connection between our “minds” and our bodies? It is apparent that we are personified entities, but also, that we embrace “more” than just our bodies. “Human persons are physical, embodied beings and an important feature of God’s intended design for human life” (Cortez, 70).
In the past few decades we have seen how computers are becoming more and more advance, challenging the abilities of the human brain. We have seen computers doing complex assignments like launching of a rocket or analysis from outer space. But the human brain is responsible for, thought, feelings, creativity, and other qualities that make us humans. So the brain has to be more complex and more complete than any computer. Besides if the brain created the computer, the computer cannot be better than the brain. There are many differences between the human brain and the computer, for example, the capacity to learn new things. Even the most advance computer can never learn like a human does. While we might be able to install new information onto a computer it can never learn new material by itself. Also computers are limited to what they “learn”, depending on the memory left or space in the hard disk not like the human brain which is constantly learning everyday. Computers can neither make judgments on what they are “learning” or disagree with the new material. They must accept into their memory what it’s being programmed onto them. Besides everything that is found in a computer is based on what the human brain has acquired though experience.
Artificial Intelligence “is the ability of a human-made machine to emulate or simulate human methods for the deductive and inductive acquisition and application of knowledge and reason” (Bock, 182). The early years of artificial intelligence were seen through robots as they exemplified the advances and potential, while today AI has been integrated society through technology. The beginning of the thought of artificial intelligence happened concurrently with the rise of computers and the dotcom boom. For many, the utilization of computers in the world was the most advanced role they could ever see machines taking. However, life has drastically changed from the 1950s. This essay will explore the history of artificial intelligence, discuss the