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Problem set 2

In a long essay, explain how Ryle's Logical Behaviorism responds to the problems of Cartesian Dualism, making sure to distinguish Logical Behaviorism from Methodological Behaviorism. Explain why we rejected Logical Behaviorism and how Type Physicalism responds to the rejection of Logical Behaviorism. Finally, explain how Multiple Realizability simultaneously refutes Type Physicalism and points the way to Machine Functionalism. (25)

 

Ryle’s Logical behaviorism is a theory of mind that mental concepts can be explained in terms of behavioral concepts. While Cartesian Dualism a theory or system of thought that regards a domain of reality in terms of two independent principles, especially mind and matter. Ryle thinks Cartesian Dualism an origin of the category mistake. What makes it a issue is that it represents the facts of mental life as if they belonged to one logical type or category when they actually belong to another The primary reason logical behaviorisms declined was the rejection of the verifications theory of meaning that supported it Multiple reliability, in the philosophy of mind, is the thesis that the same mental property, state, or event can be implemented by different physical properties, states or events.

Type physicalism is a physicalize theory, in the philosophy of mind. It asserts that mental events can be grouped into types, and can then be correlated with types of physical events in the brain

The mind is a substance and the body is distant substance says dualism. There is only one substance, mind while bodies are not real; they are just perceptions of the mind says idealism. There is only one substance, body while minds are ether s special byproduct of complex physical systems or illusions as materialism/physicalism.

Machine functionalism, or, the computational theory of mind, states that the inner workings of the brain are akin to the information processing of a computer To be honest I wrote this one second cause I don’t know how most of theses topics string together. I read all the stuff you wrote on the school cite and I took really good notes in class but I can’t give you the answers you want. The second problem set question was easy…regurgitating some knowledge and there you go.

 

 

 

 

In a long essay, explain the Turing Test for machine intelligence. Is the perfect simulation of intelligence intelligence? Why or why not? (25)

 

The Turing Test is a process for deciding whether or not a computer is capable of thought process like a human. The test is named after Alan Turing, an English mathematician who made great strides towards artificial intelligence during the 1940ish and 1950ish, and who is responsible with coming up with the test. According to this kind of test, a computer that has proven to have artificial intelligence if it can mimic human responses under the tests conditions. In Turing's test, if the human running the test is unable to above average determine whether an answer has been given by a computer or by another human being, then the computer is considered to have "passed" the test. In the basic Turing Test, there are three computer terminals. Two of the computer terminals are operated by humans, and then just the computer terminal. Each terminal is physically separated from the other two. One human is the interviewer. The other human and the computer are the respondents. The interviewer interrogates both the human and the computer according to a specified format, within a certain topic area and context, and for a preset length of time. After the specified time, the interviewer tries to decide which terminal is operated by the human and which terminal is the computer. The test is repeated a lot of times and If the interviewer makes the wrong determination in half of the test runs or less, the computer is said to have artificial intelligence, because the interviewer regards it as "just as human" as the human respondent. I do not believe the test is the perfect simulation. The Turing Test has been assessed, in particular because the nature of the questioning must be limited in order for a computer to exhibit human-like intelligence. And an example, a computer might score high when the interviewer makes the questions "Yes" or "No" answers a from a narrow field of knowledge. If the need of a response to questions of a broad-based, conversational nature, a computer would not be expected to perform like a human being. This would especially be true if the questions where emotionally charged or socially sensitive.