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引文資料
題名:
語意、葛德爾定理與類神經網路
書刊名:
歐美研究
作者:
洪裕宏
作者(外文):
Houng, Yu-Houng
出版日期:
1992
卷期:
22:1
頁次:
頁43-74
主題關鍵詞:
語意
;
葛德爾定理
;
類神經網路
;
認知模釋
;
Semantics
;
Gödel's theorem
;
Neural networks
;
Cognitive modeling
原始連結:
連回原系統網址
相關次數:
被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
排除自我引用:0
共同引用:0
點閱:44
John Searle' Chinese Room Argument and Godel's Incompleteness Theorem has been taken as fatal attacks to the traditional digital computer models of the mind. The main thrust of Searle's argument is that a programmed computer is purely a syntactic machine which is not sufficient for modeling the semantic aspect of the mind. Godel's theorem has been taken, on the other hand, to show that a programmed computer is necessarily inferior to human mind for it in principle cannot "see" the truth of its Godel sentence while human beings can. Searle further proposes that an extended version of his argument, i.e., Chinese Gym Argument, shows the similar consequence for neural network models. Roger Penrose rejuvenates the argument from Godel's theorem and intends to show that human mind is non-algorithmic, hence no Turing Machine approach can succeed in modeling the mind. In this paper, I discuss the relations between neural network models and Searle's argument and Penrose's argument. I contend that Searle might be right in refuting digital computer models, but he totally misunderstands the nature of neural network models. His Chinese Gym Argument cannot be applied to neural networks. With regard to Penrose's argument, I argue that Godel's theorem does not have the philosophical implications with which he think can defeat Turing Machine models, not to mention neural network models. Although I don't agree with Penrose with respect to the above issue, he nevertheless is correct in pointing out that human mind might be non-algorithmic, and hence no algorithmic models can suffice in modeling the mind.
以文找文
期刊論文
1.
Fodor, J. A.、Pylyshyn, Z. W.(1988)。Connectionism and cognitive architecture: A critical analysis。Cognition,28,3-71。
2.
Harnad, Stevan(1990)。The symbol grounding problem。Physica D: Nonlinear Phenomena,42(1-3),335-346。
3.
Newell, A.(1982)。The knowledge level。Artificial intelligence,18(1),87-127。
4.
Turing, Alan M.(1950)。Computing Machinery and Intelligence。Mind,59(236),433-460。
5.
Churchland, Paul M.、Churchland, Patricia(1990)。Could a Machine Think?。Scientific American,262,32-37。
6.
Boolos, G.(1990)。On 'Seeing' the Truth of the Gödel Sentence。Behavioral and Brain Sciences,13,655-656。
7.
Lucas, J. R.(1961)。Minds, Machines and Gödel。Philosophy,36,112-127。
8.
Pellionisz, A.、Llinás, R.(1979)。Brain Modeling by Tensor Network Theory and Computer Simulation. The Cerebellum: Distributed Processor for Predictive Coordination。Neuroscience,4,323-348。
9.
Newell, Allen、Simon, Herbert A.(1976)。Computer Science as Empirical Inquiry: Symbols and Search。Communications of the Association for Computing Machinery,19(3),113-126。
10.
Newell, A.(1980)。Physical Symbol Systems。Cognitive Science,4,135-183。
11.
Penrose, Roger(1990)。Précis of The Emperor's New Mind: Concerning Computers, Minds, and the Laws of Physics。Behavioral and Brain Sciences,13,643-705。
12.
Searle, John R.(1990)。Is the Brain's Mind a Computer Program?。Scientific American,262(1),26-31。
13.
Smolensky, P.(1988)。On Proper Treatment of Connectionism。Behavioral and Brain Sciences,11,1-74。
14.
Rosenblat, F.(1958)。The perceptron: A probabilistic model for information storage and organization in the brain。Psychological Review,65(6),386-408。
研究報告
1.
Smolensky, P.(1987)。On Variable Binding and the Representation of Symbolic Structures in Connectionist Systems。Dept. of Computer Science, University of Colorado。
2.
Smolensky, P.(1988)。Connectionism, Constituency, and the Language of Thought。Dept. of Computer Science, University of Colorado。
學位論文
1.
Houng, Y. H.(1991)。Classicism, Connectionism, and the Concept of Level(博士論文)。Indiana University。
2.
Pollack, J. B.(1987)。On Connectionist Models of Natural Language Processing(博士論文)。University of Illinois。
3.
Van Gelder, T.(1989)。Distributed Representation(博士論文)。University of Pittsburgh。
圖書
1.
Lewis, David(1986)。On the Plurality of Worlds。Blackwell。
2.
Penrose, Roger(1989)。The Emperor's New Mind: Concerning Computers, Minds and the Laws of Physics。Oxford University Press。
3.
Pylyshyn, Z. W.(1984)。Computation and cognition: Toward a foundation for cognitive science。Cambridge, Mass.:MIT Press。
4.
Putnam, H.(1975)。Mind, Language and Reality, Philosophical Papers。Cambridge University Press。
5.
Anderson, J. A.、Rosenfeld, E.(1988)。Neurocomputing: Foundations of Research。Cambridge, MA:MIT Press。
6.
Searle, John R.(1984)。Minds, Brains and Science。Cambridge, MA:Harvard University Press。
7.
Churchland, Paul M.(1989)。A Neurocomputational Perspective: The Nature of the Mind and the Structure of Science。Cambridge, Mass:MIT Press。
8.
Fodor, J. A.(1987)。Psychosemantics。Cambridge, MA:MIT Press。
9.
Gallistel, C. R.(1990)。The Organization of Learning。Cambridge, Mass:MIT Press。
10.
Haugeland, J.(1981)。Mind Design。Cambridge, Mass.:MIT Press。
11.
Lin, C.、Fu, D.。Studies on Philosophy of Science and Conceptual History of Science in Taiwan。Dordrecht:Kluwer Academic。
12.
Kleene, S. C.(1971)。Introduction to Metamathematics。Amsterdam:North-Holland Publishing Company。
13.
Putnam, H.(1960)。Minds and Machines。
14.
Stich, Stephen P.(1983)。From Folk Psychology to Cognitive Science。Cambridge, Mass:MIT Press。
圖書論文
1.
Houng, Yu-houng(1993)。Eliminative Materialism and Connectionism。Philosophy and Conceptual History of Science in Taiwan。Kluwer。
2.
McClelland, J. L.、Rumelhart, D. E.、PDP Research Group(1986)。Psychological and Biological Models。Parallel Distributed Processing: Explorations in the Microstructures of Cognition。Cambridge, Mass:MIT Press。
3.
Rumelhart, D. E.、Hinton, G. E.、Williams, R. J.(1986)。Learning Internal Representations by Error Propagation。Parallel Distributed Processing: Explorations in the Microstructures of Cognition, Vol. 2: Psychological and Biological Models。Cambridge, Mass:MIT Press。
4.
Rumelhart, D. E.、McClelland, J. L.、PDP Research Group(1986)。Foundations。Parallel Distributed Processing: Explorations in Microstructure of Cognition。Cambridge, Mass:MIT Press。
5.
Searle, John R.(1981)。Mind, Brain and Programs。Mind Design Cambridge。Cambridge, Mass:MIT Press。
6.
Sejnowski, T. J.、Rosenberg, C. R.(1988)。NETalk: A Parallel Network That Learns to Read Aloud。Neurocomputing: Foundations of Research。Cambridge, Mass.:MIT Press。
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