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Computer vs human brain essay
The computational theory of mind
Computer vs human brain essay
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In John Searle’s paper, Minds, Brains, and Programs, he rejects the idea that the human mind behaves and computes similarly to that of a computer program. Searle comes to this conclusion by arguing against a specific type of functionalism, the Computational Theory of the Mind. He does so by objecting many of Roger Schank’s projects, ‘which aim to simulate the human ability to understand stories; being able to answer questions about a story even though the information that they give is never explicitly stated in the story’. Searle’s main focus will revolve around famous project known as the Chinese Room experiment. Using this experiment Searle refutes the idea and claim that an “appropriately programmed computer” can have the ability to think …show more content…
The Computational Theory of the Mind is essentially a philosophical view that claims that the mind is in-fact a computer, with the brain acting as the computer and the mind acting as the program that the brain uses to run. The program of the mind relies on a set of rules used to manipulate cognitive thinking down to various symbols, called the syntax. The mind then computes the symbols into actual meaning and understanding that is created by the manipulation. This representation of syntaxes and semantics is ultimately how the Computational Theory of the Mind defines computation; manipulation of symbols
Computationalism: the view that computation, an abstract notion of materialism lacking semantics and real-world interaction, offers an explanatory basis for human comprehension. The main purpose of this paper is to discuss and compare different views regarding computationalism, and the arguments associated with these views. The two main arguments I feel are the strongest are proposed by Andy Clark, in “Mindware: Meat Machines”, and John Searle in “Minds, Brains, and Programs.”
Jaegwon Kim thinks that multiple realizability of mental properties would bring about the conclusion that psychology is most likely not a science. Several functionalists, specially, Fodor, take up the opposing stance to Kim, supporting that the multiple realizability of mental states is one of the reasons why psychology is an autonomous and justifiable science. Essentially, Kim think that in order for mental states to be multiply realizable then psychology must be fundamentally broken; with human psychology encompassing properties realized for humans and alien psychology encompassing those mental states realized in the alien way etc. I will demonstrate that even if one supports and allows the principles behind Kim’s argument they do not result in his final conclusion of psychology failing to be a science. By attacking his principle of Casual Individuation of Kinds I will show that Kim has failed to find the correct conclusion. Furthermore, I will consider a possible objection that Kim might have to my stance and give a short rebuttle. I will conclude by explicating Jerry Fodor’s account of what is Kim’s essential problem is. By showing that Kim’s conclusion fails it will entail that Fodor’s conclusion is more viable in reality.
The general point behind the homunculi-head introduces consideration to the possibility of brain functions being done by parts which could not together be conscious. Functionalism requires only similar machine instructions which serve out a set of outputs given a set of inputs. Block’s counter arguments shows such an account of
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...
Computers are well known for their ability to perform computations and follow a list of instructions, but can a computer be a mind? There are varying philosophical theories on what constitutes a mind. Some believe that the mind must be a physical object, and others believe in dualism, or the idea that the mind is separate from the brain. I am a firm believer in dualism, and this is part of the argument that I will use in the favor of Dennett. The materialist view however, would likely not consider Hubert to be a mind. That viewpoint believes that all objects are physical objects, so the mind is a physical part of a human brain, and thus this viewpoint doesn’t consider the mind and body as two separate things, but instead they are both parts of one object. The materialist would likely reject Hubert as a mind, even though circuit boards are a physical object, although even a materialist would likely agree that Yorick being separated from Dennett does not disqualify Yorick as a mind. If one adopts a dualism view and accept the idea that the mind does not have to be connected to a physical object, then one can make sense of Hubert being able to act as the mind of Dennett. The story told to us by Dennett, is that when the switch is flipped on his little box attached to his body, the entity that controls Dennett, changes to the other entity. Since the switches are not labeled, it is never known which entity is
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.
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.
In addition all the objects, people and the sky that we perceive, and all our experiences are just the result of electronic impulses travelling from the computer to the nerve endings. (ibid.). However, he start by posing doubts by asking that if our brains were in a vat, could we say or think that we were (Putnam, 1981:7). He furthermore argued that we could not (ibid.). For Putnam, it cannot be true that, if our brains are a vat and we say or think that we were, for Putnam it is self-refuting (ibid.).
Computers are machines that take syntactical information only and then function based on a program made from syntactical information. They cannot change the function of that program unless formally stated to through more information. That is inherently different from a human mind, in that a computer never takes semantic information into account when it comes to its programming. Searle’s formal argument thus amounts to that brains cause minds. Semantics cannot be derived from syntax alone. Computers are defined by a formal structure, in other words, a syntactical structure. Finally, minds have semantic content. The argument then concludes that the way the mind functions in the brain cannot be likened to running a program in a computer, and programs themselves are insufficient to give a system thought. (Searle, p.682) In conclusion, a computer cannot think and the view of strong AI is false. Further evidence for this argument is provided in Searle’s Chinese Room thought-experiment. The Chinese Room states that I, who does not know Chinese, am locked in a room that has several baskets filled with Chinese symbols. Also in that room is a rulebook that specifies the various manipulations of the symbols purely based on their syntax, not their semantics. For example, a rule might say move the squiggly
Historically, cognitive psychology was unified by an approach based on an resemblance between the mind and a computer, (Eysenck and Keane, 2010). Cognitive neuroscientists argue convincingly that we need to study the brain while people engage in cognitive tasks. Clearly, the internal processes involved in human cognition occur in the brain, and several sophisticated ways of studying the brain in action, including various imaging techniques, now exist, (Sternberg and Wagner, 1999, page 34).Neuroscience studies how the activity of the brain is correlated with cognitive operations, (Eysenck and Keane, 2010). On the other hand, cognitive neuropsychologists believe that we can draw general conclusions about the way in which the intact mind and brain work from mainly studying the behaviour of neurological patients rather than their physiology, (McCarthy and Warrington, 1990).
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.
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...
To commence, functionalists are preoccupied with making mental states distinct, partly on the basis of causal relations to other mental states. Functionalism involves the conviction that psychological or mental terms can be done away to a certain extent. Functionalists treat terms related to mental states as functional characterizations which differ from input and output terms. Therefore, when the theory is broken down, mental states are associated with the states of the Turing-machine, which on its own is defined as a machine table that mentions inputs and outputs that are not explored in the mind (Block, pg. 212). Additionally, functionalism empathizes that characterization of mental states ought to include descriptions of inputs and outputs in both it...
...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 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.