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arXiv 1105.4769quant-phmath-phmath.MPphysics.bio-ph
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打破经典概率定律的上下文相关系统的通用量子信息模型

A general quantum information model for the contextual dependent systems breaking the classical probability law

Masanari Asano, Irina Basieva, Andrei Khrennikov, Masanori Ohya, Ichiro Yamato

摘要:

有几种现象(系统)打破了经典的概率定律。这样的系统是上下文相关的适应系统。本文利用自适应动力学和量子信息理论中的概念--量子信道和提升,提出了一个新的计算这类系统概率的数学公式。在量子物理学中可以找到上下文相关现象的基本例子。最近在生物学和心理学领域也发现了类似的例子。我们的新方法是由传统的量子概率激发的,但它足够通用,可以描述量子物理之外的上述现象。

英文摘要:

There exist several phenomena (systems) breaking the classical probability laws. Such systems are contextual dependent adaptive systems. In this paper, we present a new mathematical formula to compute the probability in those systems by using the concepts of the adaptive dynamics and quantum information theory -- quantum channels and the lifting. The basic examples of the contextual dependent phenomena can be found in quantum physics. And recently similar examples were found in biological and psychological sciences. Our novel approach is motivated by traditional quantum probability, but it is general enough to describe aforementioned phenomena outside of quantum physics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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