Can Computers Think? The Case For and Against Artificial Intelligence Artificial intelligence has been the subject of many bad "80's" movies and countless science fiction novels. But what happens when we seriously consider the question of computers that think. Is it possible for computers to have complex thoughts, and even emotions, like homo sapien? This paper will seek to answer that question and also look at what attempts are being made to make artificial intelligence (hereafter called AI) a reality. Before we can investigate whether or not computers can think, it is necessary to establish what exactly thinking is. Examining the three main theories is sort of like examining three religions. None offers enough support so as to effectively eliminate the possibility of the others being true. The three main theories are: 1. Thought doesn't exist; enough said. 2. Thought does exist, but is contained wholly in the brain. In other words, the actual material of the brain is capable of what we identify as thought. 3. Thought is the result of some sort of mystical phenomena involving the soul and a whole slew of other unprovable ideas. Since neither reader nor writer is a scientist, for all intents and purposes, we will say only that thought is what we (as homo sapien) experience. So what are we to consider intelligence? The most compelling argument is that intelligence is the ability to adapt to an environment. Desktop computers can, say, go to a specific WWW address. But, if the address were changed, it wouldn't know how to go about finding the new one (or even that it should). So intelligence is the ability to perform a task taking into consideration the circumstances of completing the task. So now that we have all of that out of that way, can computers think? The issue is contested as hotly among scientists as the advantages of Superman over Batman is among pre-pubescent boys. On the one hand are the scientists who say, as philosopher John Searle does, that “Programs are all syntax and no semantics.” (Discover, 106) Put another way, a computer can actually achieve thought because it “merely follows rules that tell it how to shift symbols without ever understanding the meaning of those symbols.” (Discover, 106) On the other side of the debate are the advocates of pandemonium, explained by Robert Wright in Time thus: “[O]ur brain subconsciously generates competing theories about the world, and only the ‘winning' theory becomes part of consciousness.
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.
...s work pertaining to the Doctrine of Elements. Therefore, the argument can offer grounds to the claim that computers are in fact capable of human thought, but only through different means, which can be extrapolated and reappropriated to be found compatible. 1 2001: A Space Odyssey (1968)2 Star Trek: The Original Series (1968)3 Tron (1982)4 Terminator series5 Wall-E (2008)6 Runaroun, Isaac Asimov. Street and Smith Publications, Inc. 19427 In later books, a zeroth law was introduced: 0. A robot may not harm humanity, or, by inaction, allow humanity to come to harm8 Artificial intelligence will be shortened to AI for the rest of the essay9 ilib10 Clark, Liat. "Google’s Artificial Brain Learns to Find Cat Videos." Wired.com. Conde Nast Digital, 24 June 0012. Web. 03 May 2014.11 ilib12A11/B2513 B xvii14 B1815 (A11/B25)16 (A22/B39)17 A77/B10318 A78/B10419 A10320 A79/B105
It is necessary to look at the development of artificial intelligence in order to put this idea into context. The concept of intelligent and aware constructs began to emerge in the 1950s and 60s as several scientists in many fields came together to discuss the possibilities of advanced computer research. The first major step was a scientific conference at Dartmouth College in 1956. Here, the general concepts and possible paths of research for a.i. were fleshed out. As described in Artificial Intelligence: A Modern Approach, this conference was “the birth of artificial intelligence.” This was mostly a theoretical stage yet attending experts predicted that with a huge investment, working technology could be available in a generation (16). After being officially established, a.i. research and discovery exploded. Computer programs, a brand new idea, were already conquering algebra problems and speech recognition. Some could even reproduce English (18). It was clear that artificial intelligence research was going to be at the fo...
If a machine passes the test, then it is clear that for many ordinary people it would be a sufficient reason to say that that is a thinking machine. And, in fact, since it is able to conversate with a human and to actually fool him and convince him that the machine is human, this would seem t...
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.
Technology Is What You Make It The articles “How Computers Change the Way We Think” by Sherry Turkle and “Electronic Intimacy” by Christine Rosen argue that technology is quite damaging to society as a whole and that even though it can at times be helpful it is more damaging. I have to agree and disagree with this because it really just depends on how it is used and it can damage or help the user. The progressing changes in technology, like social media, can both push us, as a society, further and closer to and from each other and personal connections because it has become a tool that can be manipulated to help or hurt our relationships and us as human beings who are capable of more with and without technology. Technology makes things more efficient and instantaneous.
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.
In order to see how artificial intelligence plays a role on today’s society, I believe it is important to dispel any misconceptions about what artificial intelligence is. Artificial intelligence has been defined many different ways, but the commonality between all of them is that artificial intelligence theory and development of computer systems that are able to perform tasks that would normally require a human intelligence such as decision making, visual recognition, or speech recognition. However, human intelligence is a very ambiguous term. I believe there are three main attributes an artificial intelligence system has that makes it representative of human intelligence (Source 1). The first is problem solving, the ability to look ahead several steps in the decision making process and being able to choose the best solution (Source 1). The second is the representation of knowledge (Source 1). While knowledge is usually gained through experience or education, intelligent agents could very well possibly have a different form of knowledge. Access to the internet, the la...
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.
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.
There has always been controversy as to whether computers hurt the way people think. Computers have hurt society more than it has helped. Although computers have benefits such as helping you for school work in making quicker decisions for you, and it makes it easier to do essays by using word; it has also hurt society because it makes us become lazier, makes online dating dangerous, and makes people addicted to the Internet.