突触扰动与意识

S. Thaler
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引用次数: 8

摘要

通过允许一个人工神经网络控制注入到另一个神经网络的突触噪声,基于对这些干扰形成的模式的评估,形成了一种沉思形式的人工智能,其创造力和模式传递与人类认知非常相似。根据分数布朗运动理论,我们可以推导出一个方程,通过统计力学验证,它控制着这种神经系统中模式转换的新颖性和节奏。通过这个方程,我们对大脑中想法形成的过程有了有价值的了解,无论这个器官是在理解环境还是自身。在此过程中,我们揭示了创造力和意识之间的关系,以及构建有意识的机器智能的潜在途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synaptic Perturbation and Consciousness
By allowing one artificial neural network to govern the synaptic noise injected into another based upon its appraisal of patterns nucleating from such disturbances, a contemplative form of artificial intelligence is formed whose creativity and pattern delivery closely parallels that of human cognition. Drawing upon the theory of fractional Brownian motion, we may derive an equation, verifiable through statistical mechanics, which governs both the novelty and rhythm of pattern turnover within such neural systems. Through this equation, we gain valuable insight into the process of idea formation within the brain, whether that organ is making sense of its environment or itself. In doing so, a relationship between creativity and consciousness is revealed, along with a potential path toward building conscious machine intelligence.
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