STTR Phase I: Disciple Technologies for Development, Utilization, and Maintenance of Regulatory Knowledge Bases

这个小企业技术转移研究第一阶段项目将使用学徒学习和交互式推理方法进行可行性研究，以及乔治梅森大学学习代理中心开发的学习技术，以建立，利用和维护动态金融服务组织的监管知识库。可编程学习软件代理可以由专家直接教导，成为基于知识的助手。专家直接与智能体交互，教它解决问题的方式类似于专家教人类学徒的方式，通过给智能体例子和解释，以及监督和纠正它的行为。智能体通过概括示例和解释来向专家学习，以建立其知识库。该方法已被应用于军事挑战问题和情报分析。STTR第一阶段工作的目标是使用区块链技术为金融服务公司建立一个原型监管知识库。该原型将有助于对这些类型的应用领域的可扩展性技术进行可行性分析。每个现代企业不仅要应对本地和全球竞争对手，还要应对本地和全球法规。这些法规给业务运营带来了巨大的负担，导致员工和信息系统遵守存储在大量不断变化的文档中的许多策略。目前的知识管理技术和软件工具可以有效地组织和检索文件，但它们不能提供有效的定制程序来处理具体的业务案例。因此，有必要建立灵活的知识型系统，如知识型系统，帮助解决具体案件，同时遵守所有规则和条例。这些系统还应能够获得其用户的推理技能，以适应其处理新案件的能力。基于在第一阶段建立的原型，将评估支持开发、利用和维护监管知识库的能力。该原型还将有助于确定第二阶段在以下领域的研究和开发目标：定量推理和学习能力，知识库版本控制，共享和审计功能，以及与数据库引擎的接口。

This Small Business Technology Transfer Research Phase I project will perform feasibility studies of using apprenticeship learning and interactive reasoning methods, and the Disciple Technologies developed by the George Mason University Learning Agents Center, to build, utilize, and maintain regulatory knowledge bases for dynamic financial services organizations. The Disciple learning software agent can be taught directly by an expert to become a knowledgebased assistant. The expert interacts directly with a Disciple agent to teach it to solve problems in a way that is similar to how the expert would teach a human apprentice, by giving the agent examples and explanations, as well as by supervising and correcting its behavior. The agent learns from the expert by generalizing the examples and the explanations to build its knowledge base. Disciple has been applied to military challenge problems and to the intelligence analysis. The objective of this STTR Phase I effort is to use the Disciple technologies to build a prototype regulatory knowledge base for a financial services firm. The prototype will help to conduct a feasibility analysis of the Disciple technologies for these type of application domains. Every modern enterprise must deal not only with local and global competitors, but also with local and global regulations. These regulations put tremendous burden on business operations causing workers and information systems to comply with many policies stored in a large number of ever changing documents. The current knowledge management technologies and software tools allow efficient organization and retrieval of documents, but they cannot offer efficient customized procedures to deal with specific business cases. Therefore, there is a need for flexible knowledge-based systems, like Disciple, that will offer help in solving specific cases while complying with all the rules and regulations. These systems should also be capable of acquiring reasoning skills of their users to adapt their capabilities to deal with new cases. Based on theprototype built during Phase I, Disciple abilities to support development, utilization, and maintenance of regulatory knowledge bases will be evaluated. The prototype will also help to identify research and development goals for Phase II in the following areas: quantitative reasoning and learning capabilities, knowledge base versioning, sharing, and auditing functions, and interfacing with database engines.