ITR: Analogy, Knowledge Integration, and Task Modeling Tools for Intelligence Analysts

情报分析人员必须筛选大量信息，利用从历史和经验中获得的观点，从不同的来源汇总出关于正在发生的事情的最佳连贯图景。今天的世界变得复杂得多，但人类的认知能力却没有改变。该项目通过探索如何紧密结合三种人工智能技术来解决这个问题：基于大型常识知识库的演绎推理、类比推理和智能信息检索，为情报分析人员创造新的强大工具。正在探索的假设是，这些技术可以协同结合，每一个都克服了其他技术的局限性。通过Cycorp参与ARDA/NIMD的玻璃盒分析环境，该团队可以访问有关分析师如何工作的详细数据，并有机会对原型进行反馈，该环境记录了分析师在处理非机密但具有代表性的问题时使用的信息流。这项工作可能对国土安全产生重大的积极影响。

Intelligence analysts must sift through massive amounts of information, using perspective gained from history and experience to pull together from disparate sources the best coherent picture of what is happening. Today's world has grown far more complex, but human cognitive abilities have remained unchanged. This project is tackling this problem by exploring how to tightly combine three kinds of AI techniques: deductive reasoning over a large common sense knowledge base, analogical reasoning, and intelligent information retrieval, to create new power tools for intelligence analysts. The hypothesis being explored is that these techniques can be combined synergistically, each overcoming limitations of the others. The team has access to detailed data about how analysts work and opportunities for feedback about prototypes through Cycorp's participation in ARDA/NIMD's Glass Box Analysis Environment, which records the information streams analysts use while working on unclassified but representative problems. This work could have a significant positive impact on homeland security.