摘要翻译：
探索性思维导图是一个动态的框架，它是从输入中自动产生的。它不同于现有（人类）思想被放置和连接在一起的验证建模系统。在这方面，探索性思维导图不断地改变它们的大小，与内部的连接论细胞相适应；思维导图以增量方式处理数据输入，并通过适当的通信接口提供了与用户交互的多种可能性。对于认知动机的情况，比如伴侣之间的对话，思维导图变得有趣，因为它们能够在任何时候处理刺激信号。如果这些信号接近自己对世界的理解，那么对话伙伴会自动变得比信号不匹配或不匹配自己的知识方案更可信。因此，在这篇论文中，我们将探索性思维导图作为认知引擎，并提出将其作为促进信任的决策支持引擎。
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英文标题：
《A Cognitive Mind-map Framework to Foster Trust》
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作者：
Jayanta Poray, Christoph Schommer
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最新提交年份：
2009
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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：
  The explorative mind-map is a dynamic framework, that emerges automatically from the input, it gets. It is unlike a verificative modeling system where existing (human) thoughts are placed and connected together. In this regard, explorative mind-maps change their size continuously, being adaptive with connectionist cells inside; mind-maps process data input incrementally and offer lots of possibilities to interact with the user through an appropriate communication interface. With respect to a cognitive motivated situation like a conversation between partners, mind-maps become interesting as they are able to process stimulating signals whenever they occur. If these signals are close to an own understanding of the world, then the conversational partner becomes automatically more trustful than if the signals do not or less match the own knowledge scheme. In this (position) paper, we therefore motivate explorative mind-maps as a cognitive engine and propose these as a decision support engine to foster trust.
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PDF链接：
https://arxiv.org/pdf/0908.3394