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脑机智能哲学与意识问题

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脑机智能是通过脑机接口实现的结合生物脑智能和机器智能的智能系统.该系统捕捉人脑的神经活动信号,并由人工智能进行解码,以控制仿生肢体、生成语音或执行其他操作.同时,人工智能根据生物的状态、环境、任务和需求生成对生物身体与大脑的刺激,旨在恢复或增强知觉、行为和情感.然而,当前的脑机智能虽然能够实现一些基本功能,但尚未实现真正可靠的意识体验,也未能帮助主体获得完整的自主感和能动感.在考虑橡胶手错觉、幻肢体验等意识错觉、神经可塑性的科学原理以及延展性的心灵与意识的哲学洞见的基础上,脑机智能能够实现可靠的意识体验和自主感.此外,采用多模态控制信号和反馈,以及利用人工智能进行控制和反馈,能够使脑机智能在功能上更加强大,并且能够提供更真实的意识体验和更强烈的自主感和能动感.
Brain-Machine Intelligence and the Problem of Consciousness
Brain-Machine intelligence refers to the intelligence achieved through brain-computer interfaces that combine biological brain intelligence and machine intelligence.In this system,the neural signals of the human brain are captured and decoded by AI to control bionic limbs,generate speech,or perform other operations.AI also generates stimuli for organisms based on their state,environment,tasks,and needs,aiming to restore or enhance their perceptions,actions,and emotions.While current brain-machine intelligence can perform basic functions,it lacks real and credible conscious experience,as well as a strong sense of autonomy and agency.On this basis,this paper proposes that by considering illusions of consciousness,the scientific principles of neural plasticity,and the philosophical insight of the thesis of extended mind and extended consciousness,brain-machine intelligence can achieve credible conscious experience and a sense of autonomy and mobility.The paper also suggests that by adopting multi-modal control signals and feedback,as well as using artificial intelligence for control and feedback,brain-machine intelligence can not only become more powerful but also capable of providing more realistic inse of autonomy and agency.conscious experiences as well as a stronger sense of autonomy and agency.

Brain-Machine IntelligenceBody SchemaNeuro-PlasticityConsciousnessSelf-Autonomy

李忠伟

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浙江大学哲学学院外国哲学研究所

脑机智能 身体图示 神经可塑 意识 自主感

科技部科技创新2030重大项目

2021ZD0200409

2024

社会科学
上海社会科学院

社会科学

CSTPCDCSSCICHSSCD北大核心
影响因子:1.04
ISSN:0257-5833
年,卷(期):2024.(2)
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