發(fā)布時(shí)間：2018-05-31 15:10

  本文選題：人工智能 + 學(xué)習(xí)��； 參考：《西南民族大學(xué)學(xué)報(bào)(人文社科版)》2017年12期

【摘要】：深度學(xué)習(xí)是人工智能研究中最前沿的領(lǐng)域。到底什么是深度學(xué)習(xí)?深度學(xué)習(xí)與人類(lèi)的學(xué)習(xí)在本質(zhì)上相同嗎?如果機(jī)器的確擁有學(xué)習(xí)能力,那么機(jī)器的學(xué)習(xí)能力會(huì)超過(guò)人類(lèi)嗎?對(duì)這些問(wèn)題的回答,已經(jīng)不再是單純的人工智能領(lǐng)域的內(nèi)部問(wèn)題,而是一系列更深層次的認(rèn)識(shí)論問(wèn)題。這種跨學(xué)科的關(guān)注與討論不但對(duì)深化我們對(duì)人工智能的研究有著重要的推動(dòng)作用,而且對(duì)從科學(xué)上揭示神秘的人類(lèi)學(xué)習(xí)能力同樣有著非同尋常的意義。
[Abstract]:Deep learning is the most advanced field in artificial intelligence research. What exactly is deep learning? Is deep learning essentially the same as human learning? If machines do have the ability to learn, will machines learn more than humans? The answer to these questions is no longer an internal problem in the field of artificial intelligence, but a series of deeper epistemological questions. This kind of interdisciplinary concern and discussion not only plays an important role in deepening our research on artificial intelligence, but also has an extraordinary significance in revealing the mysterious human learning ability in science.
【作者單位】： 華東師范大學(xué)哲學(xué)系;
【基金】：國(guó)家社會(huì)科學(xué)基金項(xiàng)目“具身哲學(xué)視域中的社會(huì)認(rèn)知研究”(15CZX015) 上海市哲社項(xiàng)目“具身哲學(xué)與認(rèn)知科學(xué)聯(lián)姻中的社會(huì)認(rèn)知研究”(2014EZX001)階段性成果
【分類(lèi)號(hào)】：R-05;TP18
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本文編號(hào)：1960223