Abstract
Approaches to goal-directed behaviour including online planning and opportunistic planning tackle a change in the environment by generating alternative goals to avoid failures or seize opportunities. However, current approaches only address unanticipated changes related to objects or object types already defined in the planning task that is being solved. This article describes a domain-independent approach that advances the state of the art by extending the knowledge of a planning task with relevant objects of new types. The approach draws upon the use of ontologies, semantic measures, and ontology alignment to accommodate newly acquired data that trigger the formulation of goal opportunities inducing a better-valued plan.
Abstract (translated)
目标导向行为的方法，包括在线计划和机会主义计划，通过生成替代目标来避免失败或抓住机会，来应对环境变化。但是，当前的方法只处理与正在解决的规划任务中已定义的对象或对象类型相关的未预料到的更改。本文描述了一种与领域无关的方法，该方法通过将规划任务的知识扩展到新类型的相关对象来提高技术水平。该方法利用本体论、语义度量和本体对齐来适应新获取的数据，这些数据触发了目标机会的制定，从而产生了一个更好的价值计划。
URL
https://arxiv.org/abs/1904.03606
