艾倫·紐厄爾
人工智能與認(rèn)知模型開創(chuàng)者
The human mind is a serial processor operating on parallel hardware.
人類心靈是在并行硬件上運(yùn)行的串行處理器。
Learning is the process of modifying symbolic structures to improve performance.
學(xué)習(xí)是通過修改符號結(jié)構(gòu)來提高性能的過程。
The power of a system comes from its ability to compose and decompose representations.
系統(tǒng)的力量來自于其組合和分解表征的能力。
Knowledge is represented in the mind as symbolic structures.
知識在心靈中以符號結(jié)構(gòu)的形式表征。
Problem solving is a search through a space of possible solutions.
解決問題是在可能的解決方案空間中搜索。
The key to understanding human cognition is to understand how symbols are manipulated.
理解人類認(rèn)知的關(guān)鍵在于理解符號是如何被操作的。
Intelligence is the ability to achieve goals in the world.
智能是在世界中實(shí)現(xiàn)目標(biāo)的能力。
The architecture of a system determines its behavior more than the content of its knowledge.
系統(tǒng)的架構(gòu)對其行為的影響比其知識內(nèi)容更大。
A physical symbol system has the necessary and sufficient means for general intelligent action.
一個(gè)物理符號系統(tǒng)具備一般智能行為的必要和充分條件。
The mind can be considered as a physical symbol system.
心靈可以被視為一個(gè)物理符號系統(tǒng)。
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