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摘要翻译：
提出了一种研究任务求解动力学的方法。研究任务基于专门开发的RWR软件，参与者必须揭示程序的响应逻辑。参与者以半二元对话的形式与程序进行互动，这意味着反馈反应只有两种--“对”或“错”。这项技术已经应用于一个小规模的志愿者试验小组。他们中的一些人成功地解决了任务（求解者），一些人没有（非求解者）。在工作开始时，求解者比非求解者做了更多的错误动作，在接近工作结束时，他们做了更少的错误动作。在求解者和非求解者中的工作的阶段画像显示了一定的周期，这些周期可能对应于参与者在解决任务期间可能制定的部分正确的假设序列。
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英文标题：
《An approach to visualize the course of solving of a research task in
humans》
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作者：
Vladimir L. Gavrikov, Rem G. Khlebopros
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最新提交年份：
2010
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
A technique to study the dynamics of solving of a research task is suggested. The research task was based on specially developed software Right- Wrong Responder (RWR), with the participants having to reveal the response logic of the program. The participants interacted with the program in the form of a semi-binary dialogue, which implies the feedback responses of only two kinds - "right" or "wrong". The technique has been applied to a small pilot group of volunteer participants. Some of them have successfully solved the task (solvers) and some have not (non-solvers). In the beginning of the work, the solvers did more wrong moves than non-solvers, and they did less wrong moves closer to the finish of the work. A phase portrait of the work both in solvers and non-solvers showed definite cycles that may correspond to sequences of partially true hypotheses that may be formulated by the participants during the solving of the task.
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PDF链接：
https://arxiv.org/pdf/1005.0605
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