智能系统中的序效应
Order Effects for Queries in Intelligent Systems
摘要：
本文探讨了常见的假设，决策的内部环境的智能代理和调查的记忆和信念状态的处理相关的问题，以帮助获得更好的理解的反应。具体来说，我们考虑顺序的影响，并讨论他们的经典和非经典的解释。我们还考虑了内隐认知，并探讨某些不可访问的状态是否可以最好地建模为量子态。我们建议量子态是序效应的基础的假设可以在大型数据库上进行测试，例如与医疗和药物疗效相关的数据库。一个问题，涉及迷宫网络被认为是经典和量子决策方案之间的比较。
英文摘要：
This paper examines common assumptions regarding the decision-making internal environment for intelligent agents and investigates issues related to processing of memory and belief states to help obtain better understanding of the responses. In specific, we consider order effects and discuss both classical and non-classical explanations for them. We also consider implicit cognition and explore if certain inaccessible states may be best modeled as quantum states. We propose that the hypothesis that quantum states are at the basis of order effects be tested on large databases such as those related to medical treatment and drug efficacy. A problem involving a maze network is considered and comparisons made between classical and quantum decision scenarios for it.
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。
