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Essay the chinese room argument
Essay the chinese room argument
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John Searle is an American philosopher who is best known for his thought experiment on The Chinese Room Argument. This argument is used in order to show that computers cannot process what they comprehend and that what computers do does not explain human understanding. The question of “Do computers have the ability to think?” is a very conflicting argument that causes a lot of debate between philosophers in the study of Artificial Intelligence—a belief that machines can imitate human performance— and philosophers in the Study of Mind, who study the correlation between the mind and the physical world. Searle concludes that a computer cannot simply understand a language just by applying a computer program to it and that in order for it to fully comprehend the language the computer needs to identify syntax and semantics.
The way in which The Chinese Room example works is that suppose that a person who does not understand or speak Chinese at all is told to sit in a room with an input slot and an output slot. A person that understands Chinese slips Chinese characters through the slot hoping for a response in return. The person sitting in the Chinese room is given a set of formal rules for using the Chinese symbols; however, the rules do not tell him what the words mean, they just simply indicate what they should write back in response to the letters he has received through the input slot. These rules entail grammatically correct information to the receiver even though the person in the room has not idea what they are writing out; a similar—or same— concept that a robot has. The rules only mention the shape and order the characters should be presented—their syntax. This is where Searle argues the idea of semantics as one cannot come to ...
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...r. While it is accurate that understanding an expression or word consists of having behavioral dispositions this does not prove that our understanding is equal to these behavioral dispositions (Class Notes). Searle would possibly argue that understanding and behavioral dispositions even go together.
In all, John Searle’s conclusion that computers cannot simply understand a language just by applying a program to it and that what computers do does not explain human understanding is in some ways true and in other ways false. One can never simply put an end to philosophical topics of this type. Searle’s conclusions can be tested in many different ways, so one cannot simply conclude that syntax is necessary for semantics. With all of this, we have valid explanations to why Searle’s conclusions may be true, and also have no valid explanations as to believing that it is n
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:
It is easy for Searle to respond to this claim. There is no evidence that he needs to refute. He even says that he is "embarrassed" to respond to the idea that a whole system aside from the human brain was capable of understanding. He asks the key question which will never be answered by Lycan, "Where is the understanding in this system?" Although Lycan tries to refute Searle's views, his arguments are not backed with proof. Lycan responded by explaining that Searle is looking only at the "fine details" of the system and not at the system as a whole. While it is a possibility that Searle is not looking at the system as a whole, it still does not explain in any way or show any proof whatsoever as to where the thinking in the system is.
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.
Searle's argument delineates what he believes to be the invalidity of the computational paradigm's and artificial intelligence's (AI) view of the human mind. He first distinguishes between strong and weak AI. Searle finds weak AI as a perfectly acceptable investigation in that it uses the computer as a strong tool for studying the mind. This in effect does not observe or formulate any contentions as to the operation of the mind, but is used as another psychological, investigative mechanism. In contrast, strong AI states that the computer can be created so that it actually is the mind. We must first describe what exactly this entails. In order to be the mind, the computer must be able to not only understand, but to have cognitive states. Also, the programs by which the computer operates are the focus of the computational paradigm, and these are the explanations of the mental states. Searle's argument is against the claims of Shank and other computationalists who have created SHRDLU and ELIZA, that their computer programs can (1) be ascribe...
On December 2,2015 I went to to the Lynnhaven building to receive some feedback on my agreement paper for English 111. It was a very rainy day after running through the rain when I reached the writing center room. There was a yellow note saying that the writing center was in the student center until December 4,2015. After reading the note I ran back in the rain to my car.It was to cold to walk it was raining. As I approached the student center I was told by a security guard that the tutoring lab was located on the third floor. I had walked up three flights of stairs. When I had finally reached the third floor,I walk into the tutoring lab. There were about eight tables, but only four staff members and one student. Amen had approached me asking what did I need help with today. I replied saying that I would like some feedback on my paper for English. He then pointed to the writing table and said “she can assist you with your paper”.
Are there more than two sides to an argument? The Argument Culture was written by Deborah Tannen (Tannen, 1998). She would have us believing that there are more sides to an argument than just two. Professor Deborah Tannen is a best-selling author. She is a professor of linguistics at Georgetown University. She has written many books, articles, and educational essays. She would say that high-tech communication pulls us apart. She also states that argument culture shapes who we are. Tannen also believes that we can end the argument culture by looking at all sides of the story or situation. She seems to be very knowledgeable on the subject.
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.
Searle believes that it takes more than just intention to have meaning, but also convention. Do to this example Searle suggests an additional clause to Grice’s account for meaning, adding that the speaker intends to respect the conventional linguistic meaning for the sentence he utters. Grice responds to Searle’s objection and also refuses to accept Searle’s suggestion for the additional clause to his account of speaker meaning. Grice’s reason for this is because his account of speaker meaning states that conventional meaning is supposed to be analyzed using speaker meaning, whereas Searle’s addition suggests the opposite. If Grice was to accept this addition then his account of speaker meaning would become
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.
Specifically, in how the theory likens conscious intelligence to a mimicry of consciousness. In Alan Turing’s study of computing and consciousness, he developed the Turing Test, which essentially led to the notion that if a computing machine or artificial intelligence could perfectly mimic human communication, it was deemed ‘conscious’. REF. However, many do not agree and instead argue that while computers may be able to portray consciousness and semantics, it is not commensurable to actual thought and consciousness. Simulation is not the same as conscious thinking, and having a conscious understanding of the sematic properties of the symbols it is manipulating. This flaw was portrayed in John Searle’s thought experiment, ‘The Chinese Room’. Searle places a person who cannot speak Chinese in a room with various Chinese characters and a book of instructions, while a person outside of the room that speaks Chinese communicates through written Chinese message passed into the room. The non-Chinese speaker responds by manipulating the uninterpreted Chinese characters, or symbols, in conjunction with the syntactical instruction book, giving the illusion that they can speak Chinese. This process simulated the operation of a computer program, yet the non-Chinese speaker clearly had no understanding of the messages, or of Chinese, and was still able to produce
This world of artificial intelligence has the power to produce many questions and theories because we don’t understand something that isn’t possible. “How smart’s an AI, Case? Depends. Some aren’t much smarter than dogs. Pets. Cost a fortune anyway. The real smart ones are as smart as the Turing heat is willing to let ‘em get.” (Page 95) This shows that an artificial intelligence can be programmed to only do certain ...
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.
Do you ever feel that you are discriminated by how you speak the English language? It is
As the name implies, behaviorism focuses on people’s behaviors, which are directly observable, rather than on the mental systems underlying these behaviors (Narasimhan, 1998). Language is viewed as a kind of verbal behavior and it is proposed that children learn language through imitation, reinforcement, analogy, and structured input (Fromkin, Rodman & Hyams, 2003).
In linguist and psychologist Noam Chomsky’s Language and Mind, he asserts that a “universal grammar provides a highly restrictive schema to which any human language must conform” (55). The theory of universal grammar that Chomsky proposed states that the ability to comprehend and produce a language is already built in the human brain before birth. Even from an early age, children’s brain is programmed to constantly analyze grammar and syntax. To back up his claim, Chomsky elaborates on “the intrinsic structure of a language-acquisition device” (99). This device is a hypothetical instinctive system located in the cerebrum that permits children to develop language competence. Chomsky emphasizes that inborn mental biases in humans are often unconscious and uncontrollable. An example of these biases is seen when children learn by recognizing that labels refer to whole objects and not parts. In other words, when a parent points at a dog and repeats the word “dog” to his or her child, the child will automatically assume that the parent is referring to the entire object as a “dog” instead of just the dog’s head or tail. Another bias that is harbored is the assumption that labels represent whole classes of things and not just individual objects. What this means is that once a child learns to associate the word “dog” with the image of a dog, the child should be able to understand that every animal that barks is