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建立在确定性基础上的人工智能研究虽然取得了一系列成果,但并没有使机器达到人类所期待的智能。要想解决人工智能遇到的困难,需要在研究中考虑到不确定性的因素。本文首先回顾了不确定性的哲学发展,然后从机制主义的智能生成机制角度来分析人工智能过程中存在的不确定性并在此基础上讨论了不确定性的引入对人工智能发展的启示。
The artificial intelligence research based on certainty has achieved a series of achievements, but it does not make the machine reach the intelligence that human beings expect. To solve the difficulties encountered in artificial intelligence, the factors that need to be taken into account in the study are uncertainties. This paper first reviews the philosophical development of uncertainty, and then analyzes the uncertainty existing in the process of artificial intelligence from the perspective of the mechanism of mechanism-based intelligence generation. On the basis of this, it discusses the implications of the introduction of uncertainty on the development of artificial intelligence.