Cartesian Dualism and Gilbert Ryle

Over the years, many philosophers have tried to answer elusive physical and mental problems. There are many ways to understand this problem, but probably not as famous as Descartes dualism. The theory advocated by Reina descartes in the early 17th century is at the center of modern metaphysical discourse. He was respected and censored through the teachings of meditation, and still endured many attempts by others to refute them. One of his greatest critics of the 20th century was Gilbert Lyle.

Oxford philosopher Gilbert Lyle (1900-1976) had another way to explain Plato and Descartes' thought. Lyle expressed Descartes dualism as "category error". As its name implies, category errors include placing something in the wrong logical category. In the case of Lyle, Oxford visitors walked around universities, libraries, laboratories, and teachers' rooms and asked, "Can I see the university?" She saw the university

Critique of Descartes' Dualism of Gilbert Lyle. Lile refused to accept the view that the body is only a "machine" operated by an independent "ghost" of human thought, but I thought the two are basically related to one another . In the following decades, this sentence became widely known as philosophy, in particular in 1967 when a book of the same name was published by Arthur Koestler, and finally penetrated mass culture and language. I imagined that the phrase of Lyle can transplant the future of Japanese "ghost" to the "shell" of bio robot and influenced Shirow Masamune's "Ghost Shell" (SF comics and animation) It was. "Shell's ghost problem is what happens to humans when the physical difference between humans and machines is gone.

Gilbert Lyle has created a famous metaphor called "a ghost in a machine" in order to oppose a "strange" view of the human brain and its accompanying intellectual energy. He considers Descartes' heart and body dualism to be a simple category error - it ignores the basis of mental and psychological behavior in the physical movement of the brain. Since writing of Lyle, neural network has become a backbone of machine learning, and has demonstrated a great power in complicated tasks ranging from image recognition to video game. However, as to all the advances, there remains the question of whether the neural network repeats human brain motion sufficiently accurately, often as implied or claimed with the emergence of "implicitly ghost" (ie, mind) . Is recent argument against the progress of artificial general intelligence reasonable?