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Frontiers of Philosophy in China

ISSN 1673-3436

ISSN 1673-355X(Online)

CN 11-5743/B

邮发代号 80-983

Frontiers of Philosophy in China  2014, Vol. 9 Issue (3): 441-462   https://doi.org/10.3868/s030-003-014-0037-9
  本期目录
What Can Artificial Intelligence Learn from Wittgenstein’s On Certainty?
XU Yingjin()
School of Philosophy, Fudan University, Shanghai 200433, China
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Abstract

Meta-philosophically speaking, the philosophy of artificial intelligence (AI) is intended not only to explore the theoretical possibility of building “thinking machines,” but also to reveal philosophical implications of specific AI approaches. Wittgenstein’s comments on the analytic/empirical dichotomy may offer inspirations for AI in the second sense. According to his “river metaphor” in On Certainty, the analytic/empirical boundary should be delimited in a way sensitive to specific contexts of practical reasoning. His proposal seems to suggest that any cognitive modeling project needs to render the system context-sensitive by avoiding representing large amounts of truisms in its cognitive processes, otherwise neither representational compactness nor computational efficiency can be achieved. In this article, different AI approaches (like the Common Sense Law of Inertia approach, the Bayesian approach and the connectionist approach) will be critically evaluated under the afore-mentioned Wittgensteinian criteria, followed by the author’s own constructive suggestion on what AI needs to try to do in the near future.

Key wordsanalytic/empirical dichotomy    artificial intelligence    context    axiomatic system    connectionism    Bayesian network
出版日期: 2014-09-23
 引用本文:   
. [J]. Frontiers of Philosophy in China, 2014, 9(3): 441-462.
XU Yingjin. What Can Artificial Intelligence Learn from Wittgenstein’s On Certainty?. Front. Philos. China, 2014, 9(3): 441-462.
 链接本文:  
https://academic.hep.com.cn/fpc/CN/10.3868/s030-003-014-0037-9
https://academic.hep.com.cn/fpc/CN/Y2014/V9/I3/441
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