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    从交互到交往:人机协同认知的 形态演进与未来审思

    From Interaction to Communication: Morphological Evolution and Future Reflections on Human-Machine Collaborative Cognition

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【作      者】:

郝祥军, 顾小清


【关 键 词 】:

生成式人工智能; 人机协同认知; 人机交互; 人机交往; 人机共生


【栏      目】:

理论探讨


【中文摘要】:

生成式人工智能正以其较强的自主性与社会能力为人类提供一种机器认知,人机协同成为人适应未来社会的基本认知方式。为更好利用人工智能促进人类认知方式的变革,研究首先讨论了人工智能参与人的认知活动的方式从知识驱动、数据驱动到对话生成的巨大转变。基于此,分析了人机协同认知从交互到交往的演进形态,具体展现为“基于人机交互的认知引导”“基于人机分工的认知拓展”“基于人机交往的认知互惠”。最后,基于人机逐渐建立的互惠关系,以大脑的隐喻进一步思考了未来人机如何走向共生,提出坚持统一整体、致力认知一致、实现共同进化的重要原则,以促成人机协同向人机共生演化。


【英文摘要】:

Generative artificial intelligence is providing a kind of machine cognition for human beings with its strong autonomy and social capabilities, and human-machine collaboration has become the basic cognitive way for human to adapt to the future society. In order to make better use of artificial intelligence in facilitating the transformation of human cognition, this study first discusses the significant transformation in AI's participation in human cognitive activities—from knowledge-driven, data-driven approaches to dialogue generation. Based on this, the study analyzes the morphological evolution of human-machine collaborative cognition from interaction to communication, including "cognitive guidance based on human-machine interaction", "cognitive expansion based on human-machine division of labor" and "cognitive reciprocity based on human-machine communication". Finally, based on the gradually established reciprocal relationship between human and machine, the study further considers how human and machine will move towards symbiosis in the future with the metaphor of brain, and puts forward the important principles of adhering to unified oneness, striving for cognitive consistency and realizing co-evolution, so as to promote the evolution of human and machine collaboration to human and machine symbiosis.

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