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- W3144539510 abstract "元哲学上说，人工智能(AI ) 的哲学被打算不仅探索造想的机器的理论可能性，而且揭示特定的 AI 途径的哲学的含意。对分析 / 实验的两分的 Wittgensteins 评价可以在第二意义为 AI 提供灵感。根据他的河比喻在在必然上，分析 / 实验的边界应该以对实际推理的特定的上下文敏感的一个方法被限定。他的建议似乎建议任何认知建模工程需要由避免在它的认知进程代表大量自明之理使系统变为上下文相关，否则既不具象主义的紧密也不计算效率能被完成。在这篇文章，不同 AI 来临(象惯性途径，贝叶斯的途径和连结机制的途径的常识法律一样) 将极其在上述的 Wittgensteinian 标准下面被评估，由作者跟随了 AI 需要试着在不久的将来做的上的自己的建设性的建议。" @default.
- W3144539510 created "2021-04-13" @default.
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- W3144539510 date "2014-01-01" @default.
- W3144539510 modified "2023-09-28" @default.
- W3144539510 title "What Can Artificial Intelligence Learn from Wittgenstein＇s On Certainty？." @default.
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