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English(EN) Minimal Decision Dynamics and Contextual Probability: A Quantum Tug-of-War Model

量子拔河模型探索情境概率

本文介绍了一个类似量子(quantum-like)的拔河(Tug-of-War, QTOW)决策模型扩展,以解决决策中的情境依赖性问题,该问题对经典概率论提出了挑战。QTOW模型利用一个三能级系统(qutrit)的内部状态和保持守恒的更新来表示决策、学习和探测操作,所有这些都在单一状态空间内完成。作者提出,情境概率是最小决策动力学的标志,而量子概率则提供了这种结构更紧凑、内存效率更高的实现方式。 AI

排序理由 该集群包含一篇发表在arXiv上的学术论文,详细介绍了一个新的理论模型。[lever_c_demoted from research: ic=1 ai=0.4]

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量子拔河模型探索情境概率

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该集群包含一篇发表在arXiv上的学术论文,详细介绍了一个新的理论模型。[lever_c_demoted from research: ic=1 ai=0.4]
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  1. arXiv cs.AI TIER_1 English(EN) · Song-Ju Kim ·

    最小决策动力学与情境概率:一个量子拉锯模型

    arXiv:2601.10034v2 Announce Type: cross Abstract: Decision making often exhibits context dependence that challenges classical probability theory. This paper develops a quantum-like extension of the Tug-of-War (QTOW) decision-making model to clarify when such context dependence ca…