Building Explainable Artificial Intelligence Systems
Building Explainable Artificial Intelligence Systems
复制标题
构建可解释的人工智能系统
DOI：
10.21236/ada459166
复制
发表时间：
2006
影响因子：
3.5
通讯作者：
Milton Rosenberg
中科院分区：
文献类型：
--
作者：
Mark G. Core;H. Lane;M. Lent;Dave Gomboc;Steve Solomon;Milton Rosenberg
随着人工智能(AI)系统和军事仿真中的行为模型变得越来越复杂，用户已经很难理解计算机控制实体的活动。原型解释系统已经被添加到模拟器中，但设计者没有注意到从解释专家系统行为的工作中学到的教训。这些新的解释系统不是模块化的，也不是便携式的；它们与特定的人工智能系统捆绑在一起。在本文中，我们提出了一个模块化和通用的体系结构来解释模拟实体的行为。我们描述了它在虚拟人中的应用，这是一种旨在教授谈判和文化意识等软技能的模拟。
As artificial intelligence (AI) systems and behavior models in military simulations become increasingly complex, it has been difficult for users to understand the activities of computer-controlled entities. Prototype explanation systems have been added to simulators, but designers have not heeded the lessons learned from work in explaining expert system behavior. These new explanation systems are not modular and not portable; they are tied to a particular AI system. In this paper, we present a modular and generic architecture for explaining the behavior of simulated entities. We describe its application to the Virtual Humans, a simulation designed to teach soft skills such as negotiation and cultural awareness.