本文選題：強認知 + 人工智能�。� 參考：《應(yīng)用心理學(xué)》2016年01期

【摘要】：本文從Alpha Go戰(zhàn)勝李世石的熱議話題出發(fā),簡要介紹了AlphaGo的算法,通過比較和分析當前先進人工智能技術(shù)與人類智能的特點,就當前人工智能迅猛發(fā)展背景下心理學(xué)的研究取向進行了探討。筆者認為,心理學(xué)研究應(yīng)重視計算科學(xué)這一理論基礎(chǔ)與工具,從計算理論取向探討核心認知問題,重點關(guān)注人類所擅長的,而人工智能尚無法解決的計算難題。這一研究取向?qū)M一步推動心理學(xué)從定性到定量,從現(xiàn)象到理論的發(fā)展具有重要意義。同時該研究取向下所獲的研究成果也能在與人工智能、機器學(xué)習(xí)及神經(jīng)科學(xué)等多學(xué)科交叉中,體現(xiàn)出獨特的價值。我們將這一類聚焦于"人類智能優(yōu)越特質(zhì)"的心理學(xué)研究,命名為"強認知"研究。
[Abstract]:Starting from the hot topic of Alpha go's victory over Li Shi, this paper briefly introduces the algorithm of AlphaGo. By comparing and analyzing the characteristics of current advanced artificial intelligence technology and human intelligence, This paper discusses the research orientation of psychology under the background of the rapid development of artificial intelligence. The author holds that psychological research should pay attention to the theoretical basis and tool of computational science, and discuss the core cognitive problems from the perspective of computational theory, focusing on the computational problems that human beings are good at, but that artificial intelligence can not solve. This research orientation is of great significance to further promote the development of psychology from qualitative to quantitative, from phenomenon to theory. At the same time, the research results obtained under the orientation of the research can also reflect the unique value in the multi-disciplinary intersection with artificial intelligence, machine learning and neuroscience. We call this kind of psychological research "strong Cognition", which focuses on the superiority of human intelligence.
【作者單位】： 浙江大學(xué)心理與行為科學(xué)系;
【基金】：國家自然科學(xué)基金項目(31571119;61431015) 中央高�；究蒲袠I(yè)務(wù)費專項資金資助(2015QNA3021)
【分類號】：B84-05
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本文編號：1884885