TrueReason：一个将推理与基础模型相集成的范例个性化学习系统
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
AI总结：
本文提出 TrueReason 个性化学习系统，通过 LLM 组合多种专业化 AI 模型的微观技能以实现规划与推理，为教育领域复杂认知任务的智能系统构建提供原型。
摘要：
个性化教育是能够从人工智能（AI）和大语言模型（LLM）的最新进展中极大受益的领域之一。然而，由于既要有效地开展教学，又要使学习体验个性化以适应独立学习者，这一应用也极具认知复杂性，因此也是最具挑战性的应用之一。我们假设，在此类高要求用例中取得优异表现的一种有前景的方法是使用“心智社会”。在本章中，我们提出 TrueReason，这是一个范例性的个性化学习系统，集成了大量专业化 AI 模型；这些模型能够模拟多种微观技能，并由一个 LLM 将其组合起来，以实现规划与推理的操作化。文中介绍了初始原型的架构，同时描述了已纳入该原型的两项微观技能。所提出的系统展示了构建复杂 AI 系统的第一步，这类系统能够承担教育等领域所要求的非常复杂的认知任务。
英文摘要：
Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is also one of the most challenging applications due to the cognitive complexity of teaching effectively while personalising the learning experience to suit independent learners. We hypothesise that one promising approach to excelling in such demanding use cases is using a \emph{society of minds}. In this chapter, we present TrueReason, an exemplar personalised learning system that integrates a multitude of specialised AI models that can mimic micro skills that are composed together by a LLM to operationalise planning and reasoning. The architecture of the initial prototype is presented while describing two micro skills that have been incorporated in the prototype. The proposed system demonstrates the first step in building sophisticated AI systems that can take up very complex cognitive tasks that are demanded by domains such as education.
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。
