There were external factors which I considered to ensure that we conduct the science experiment fairly. To keep it fair all variables, such as the; the questions, the response time, and the partner were all kept the same, except the change between the human and robot responses. First of all, when choosing partners, we chose people who we didn’t know well, so that we do not know too much detail about them and cannot relate it to there replies. As the speed of response could have an impact the time interval between responses were maintained, as obviously it will take longer to type in the question into the computer to the robot, then write down their reply, so when writing the response as a human, the same time gap was used before the paper was …show more content…
I used the same questions for both of the conversations so that I could compare them. In the first conversation I asked the …show more content…
Computer games that involve computer controlled characters, which opposes the character controlled by the human, have a ‘brain’ on their own. To test whether the computer controlled character exhibits human intelligence, an interrogator could play against the computer controlled character as well as a human controlled character. If the interrogator is able to notice a difference between the techniques and strategies used by the two characters, then according to the Turing test theory, the computer controlled character is not ‘intelligent’. Another artificial intelligent application which can be tested using a variation of the Turing test, is the future Google’s self - driving cars. The cars have only a start and stop button, and is relied on a very detailed map, and uses a GPS system to get to a destination. To test it, a video of a car controlled by a human, and one where the car is self controlled should be shown to an interrogator to notice the difference. This variation of the Turing test would cover a different scope of intelligence; decision making, and reaction time. Things such as the intelligence shown by the car at the pedestrian crossing, traffic lights, and giveaways should be judged. The same car, and the exterior must be used, and anything that shows the controller of the car should be avoided, and the same route must obviously be taken to be
Such as question three, asking about the enjoyable activities in their lives. Trumble preferred to spend time with her son and playing video games, who, much like Bradley, preferred time with her immediate family and playing
I asked Natalie the following questions about her reading and miscues 1. Why do you think you made those miscues while you were reading? 2. Does the miscue make sense? 3.
Introduction In the United States (U.S.), health disparities are reported as a continuous focus area to resolve minorities health (Centers for Disease Control and Prevention [CDC], 2014). The Deaf and Hard of Hearing (DHOH) people is considered an underserved study minority population who experience great health disparities (Barnett & Franks, 2002; Pick, 2013). In the area of cardiovascular diseases (CVD), health disparities affect the US people and efforts are being made eliminate CVD health disparities, especially in the DHOH communities of America (Mckee, Mckee, Winters, Sutter, & Pearson, 2014; Pick, 2013).
Nicholas Carr’s article, “Is Google Making Us Stupid” explores his claim that the way individuals process information is being disrupted and affected by the Internet. Carr begins with the example of HAL, the supercomputer from Stanley Kubrick’s 2001: A Space Odyssey, having its memory circuits calmly and coldly disconnected by Dave Bowman, who was nearly killed by the computer. Carr unequivocally puts prominence on the fact that as Bowman stripped HAL of its memory circuits, it could “feel” its artificial “brain” and mind slowly slipping away to set the tone of his theory. Carr describes how since he began using the Internet, his mind has become much more inconsistent.
I support Jacquette’s argument more than French’s argument. I believe French's criticism is flawed in certain points because I believe Jaquette is right that it’s wrong for French to conclude that machines can never successfully answer subcognitive questions. French is being too certain on a subject that is still lacking in terms of research. I believe it’s possible for machines to answer subcognitive questions in a human-like manner with the continuous development and improvement of science and technology. Also, on the criticism for using human intelligence to test, we don’t know what other intelligence are like.
It became a foundational part of the field of artificial intelligence” (Aron). Alan Turing was so advanced for his time. He was already thinking about artificial intelligence. He had the image of a robot responding to orders and having human feelings.
I referred Tansy as A, Kristine as B, and Htoo Pwe as C. The following 10 questions is what we interview
Google co-founder Sergey Brin states, “certainly if you had all the world’s information directly attached to your brain, or an artificial brain that was smarter than your brain, you’d be better off” (Carr 10). Larry Page and Sergey Brin often talk about how they want to create a machine-like HAL in Stanley Kubrick’s film, “A Timeless Space Odyssey”. For the most part, Carr believes this project is an ambitious project filled with uncertainty and interest all around, but still feels uncertain about how we will be able to reap in all
One ethical issue of driverless cars the choice of action when facing an inevitable accident with another party. In this situation, the car has to decide which party to harm. This means the people developing the car software may face the issue of deciding different values or worth on human lives or leaving it to the machine learning software to decide itself. Another issue is whether driverless cars should fully prevent human interaction or still allow humans to control the car if and when they see fit. This may raise the question of whether human error or software error was the cause of any accidents.
In his essay “Minds, Brains, and Programs”, John R. Searle argues that a computer is incapable of thinking, and that it can only be used as a tool to aid human beings or can simulate human thinking, which he refers to as the theory of weak AI (artificial intelligence). He opposes the theory of strong AI, which states that the computer is a mind and can function similarly to a human brain – that it can reason, understand, and be in different cognitive states. Searle does not believe a computer can think because human beings have programmed all the functions it is able to perform, and that computers can only compute (transform) the information it is given (351ab¶1). Searle clarifies the meaning of understanding as he uses it by saying that an
Based upon the analysis, Parnas’ article is geared more towards people involved in the field of Artificial Intelligence where Eldridge’s article is geared towards people who are not necessarily knowledgeable about Artificial Intelligence yet are interested to learn more about the topic. Throughout the article, Parnas maintains the skeptical attitude towards Artificial Intelligence, literally ending with “Devices that use heuristics to create the illusion of Intelligence present a risk we should not accept” (Parnas, 6). Eldridge on the other hand, maintains a positive attitude throughout the article despite the shortcomings of AI. Together, both authors provide compelling arguments for and against Artificial
The Cause and Effect of Self-Driving Cars Will young drivers have to get their license if there are automated cars. If that happens driverless cars would just replace gas powered cars. Even though self-driving cars will be a huge leap in the technological world, they can be extremely unpredictable that could cause unknown problems. These cars have not been on accualy roads so we can tell what could go wrong.
The Turing test has become the most widely accepted test of artificial intelligence and the most influential. There are also considerable arguments that the Turing test is not enough to confirm intelligence. Legg and Hutter (2007) cite Block (1981) and Searle (1980) as arguing that a machine may appear intelligent by using a very large set of
Artificial Intelligence is the field within computer science to explain some aspects of the human thinking. It includes aspects of intelligence to interact with the environment through sensory means and the ability to make decisions in unforeseen circumstances without human intervention. The beginnings of modern AI can be traced to classical philosophers' attempts to describe human thinking as a symbolic system. MIT cognitive scientist Marvin Minsky and others who attended the conference
The attraction of artificial intelligence for me lies in its breadth of applicability, both as a method of problem solving in itself and in a symbiotic integration with other areas of computer science. A broad spectrum of applications exist within the artificial intelligence field, ranging from intelligent non-player controlled characters in computer game software to a ubiquitous computing solution that intelligently reacts to a variety of users. This diversity is one of the main reasons that I feel compelled to pursue artificial intelligence further. While I have striven to develop my understanding of artificial intelligence during my undergraduate education, the choreographed requirements of a bachelor's degree have restricted my research to only a minute sample of artificial intelligence’s applications. During my exposure to the field, I have often been unsatisfied with the level of interaction artificial intelligence displays in response to prompts of varying complexity.