论文标题
自适应行为的多层自动化计划（扩展版）
Multi-tier Automated Planning for Adaptive Behavior (Extended Version)
论文作者
论文摘要
作为任何模型，计划域永远不会完整，不可避免地会对环境的动态做出假设。通过仅允许一个域模型的规范，知识工程师只能做出一组假设，并指定一个目标目标。从软件工程中的工作中借用，我们提出了一个多层计划框架，以允许规范不同的假设集和不同的相应目标。该框架旨在支持自适应行为的综合，以减轻任何计划建模任务中的内在风险。在定义了多层计划任务及其解决方案概念之后，我们将通过简洁的汇编来展示如何解决问题实例。这样一来，我们的技术证明了采用公平和不公平的行动进行计划的适用性，以及在开发支持双重公平假设的计划系统方面需要更多的努力。
A planning domain, as any model, is never complete and inevitably makes assumptions on the environment's dynamic. By allowing the specification of just one domain model, the knowledge engineer is only able to make one set of assumptions, and to specify a single objective-goal. Borrowing from work in Software Engineering, we propose a multi-tier framework for planning that allows the specification of different sets of assumptions, and of different corresponding objectives. The framework aims to support the synthesis of adaptive behavior so as to mitigate the intrinsic risk in any planning modeling task. After defining the multi-tier planning task and its solution concept, we show how to solve problem instances by a succinct compilation to a form of non-deterministic planning. In doing so, our technique justifies the applicability of planning with both fair and unfair actions, and the need for more efforts in developing planning systems supporting dual fairness assumptions.
