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认知相对论——通向强人工智能之路

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人工智能(AI)的发展如火如荼,大有超越人类之势,以致很多人认为奇点就要来临,强人工智能即将实现.这是一种对强人工智能的误解,因为强人工智能的核心并不在于其功能是否强大,而在于它是否具有意识.该文首先解释了强人工智能的内涵,讨论了与之相关的意识问题;然后,阐述了旨在揭开意识奥秘的认知相对论思想,包括:世界的相对性原理和符号的相对性原理,以及世界、语言和心灵的关系.接着,提出了另一条新原理,即意识的等效原理,用以说明意识从物质产生所需要的物理条件,解决主观体验或现象意识的困难问题,推导意识能力受限于感觉能力且以感觉容量为上界的认知基本定理,并分析意识在哪里和自我是什么的可能性.最后,在认知相对论的框架下,给出了研究意识问题的新纲领和实现机器意识的新思路,并展望了强人工智能的未来.
Theory of Cognitive Relativity ——The Road to Strong Artificial Intelligence
Artificial Intelligence(AI) develops in full swing with a great potential to surpass human, leading many people to believe that a singularity is imminent and that strong AI is about to be realized. This is a misconception of strong AI, because the core of strong AI is not whether it is powerful, but whether it has consciousness. In this article, firstly, the connotation of strong AI is explained, and the related problem of consciousness is discussed; Then, the ideas of Theory of Cognitive Relativity is elucidated, aimed at revealing the secret of consciousness, including the Principle of World's Relativity, the Principle of Symbol's Relativity, together with the relationships between world, language and mind. Subsequently, another new principle is expounded, namely the Principle of Consciousness' Equivalence, to show the physical conditions required for arising of consciousness from matter, and to solve the hard problem of subjective experience or phenomenal consciousness, and to establish the fundamental theorem of cognition that conscious ability is limited by sensory ability with the upper bound of sensory capacity, and to analyze the possibility of where consciousness is as well as what self is. Finally, under the framework of the theory of cognitive relativity, a new creed for solving the puzzle of consciousness and a new guide for implementing machine consciousness are presented, with the future of strong AI envisioned.

Artificial Intelligence(AI)Strong AIConsciousnessMachine consciousnessTheory of cognitive relativity

李玉鑑

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桂林电子科技大学人工智能学院 桂林 541004

人工智能 强人工智能 意识 机器意识 认知相对论

国家自然科学基金

61876010

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(2)
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