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English(EN) A Path Integral Model of Cognition

新的路径积分模型将认知视为成本优化

研究人员开发了一种认知成本优化的数学和物理表述,将目标导向的认知过程建模为投影仪哈密顿量下的虚时演化。这种方法与双括号流一致,并且可以通过维克旋转重新表述为等效的幺正演化,从而允许离散路径积分表示。该模型通过幺正相互作用的强度连接无意识处理和有意识处理,在弱耦合极限下恢复了 Gorini--Kossakowski--Sudarshan--Lindblad 退相干模型,在强耦合极限下恢复了优化状态的投影、可报告的固定。 AI

影响 这一理论框架可以为未来旨在实现更复杂认知过程和优化的AI架构提供信息。

排序理由 该集群包含一篇详细介绍认知新理论模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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新的路径积分模型将认知视为成本优化

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该集群包含一篇详细介绍认知新理论模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Haruki Emori, Kazunori Kondo, Atsushi Iriki, Andrei Khrennikov ·

    认知路径积分模型

    arXiv:2607.24807v1 Announce Type: cross Abstract: We develop the mathematical and physical formulation of cognitive cost optimization that underlies the path-integral model of consciousness. The goal-directed cognitive process is modeled as imaginary-time evolution (ITE) under a …