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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:
The purpose of this paper is to present John Searle’s Chinese room argument in which it challenges the notions of the computational paradigm, specifically the ability of intentionality. Then I will outline two of the commentaries following, the first by Bruce Bridgeman, which is in opposition to Searle and uses the super robot to exemplify his point. Then I will discuss John Eccles’ response, which entails a general agreement with Searle with a few objections to definitions and comparisons. My own argument will take a minimalist computational approach delineating understanding and its importance to the concepts of the computational paradigm.
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”.
I will begin by providing a brief overview of the thought experiment and how Searle derives his argument. Imagine there is someone in a room, say Searle himself, and he has a rulebook that explains what to write when he sees certain Chinese symbols. On the other side of the room is a Chinese speaker who writes Searle a note. After Searle receives the message, he must respond—he uses the rulebook to write a perfectly coherent response back to the actual Chinese speaker. From an objective perspective, you would not say that Searle is actually able to write in Chinese fluently—he does not understand Chinese, he only knows how to compute symbols. Searle argues that this is exactly what happens if a computer where to respond to the note in Chinese. He claims that computers are only able to compute information without actually being able to understand the information they are computing. This fails the first premise of strong AI. It also fails the second premise of strong AI because even if a computer were capable of understanding the communication it is having in Chinese, it would not be able to explain how this understanding occurs.
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.
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.
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 ...
He would say that it is still impossible for a computer to derive semantic information from merely syntax because the two things, according to him, are mutually exclusive when separate. It is impossible to gain any semantic information from syntax alone, which would mean that even if a robot was interacting with the world, the computer inside the robot is only getting syntactical information and processes it in syntactical terms only. It is also important to note, in the words of Searle, that a computer’s “operations have to be defined syntactically, whereas consciousness, thoughts, feelings, emotions, and all the rest of it involve more than syntax.” (Searle, p.681) Therefore, even though a robot would be able to simulate being a human, it cannot actually be a human. I then believe, with that evidence, Searle would conclude that the Robot reply would not satisfy the conditions needed for a computer to be able to
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.
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
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
...lligent, intentional activity taking place inside the room and the digital computer. The proponents of Searle’s argument, however, would counter that if there is an entity which does computation, such as human being or computer, it cannot understand the meanings of the symbols it uses. They maintain that digital computers do not understand the input given in or the output given out. But it cannot be claimed that the digital computers as whole cannot understand. Someone who only inputs data, being only a part of the system, cannot know about the system as whole. If there is a person inside the Chinese room manipulating the symbols, the person is already intentional and has a mental state, thus, due to the seamless integration of their systems of hardware and software that understand the inputs and outputs as whole systems, digital computers too have states of mind.
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
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).