Recognizing goals and plans from complete or partial observations can be efficiently
achieved through automated planning techniques. In many applications, it is important to …

Modern ultralight aircraft in general aviation are equipped with an onboard Pilot Assistance
System (PAS) as a companion system, meant to guide the pilot in decision-making, eg with …

In today's highly interconnected, open-networked computing world, artificial intelligence
computer agents increasingly interact in groups with each other and with people both …

Plan recognition algorithms output hypotheses about an agent's plans from its observed
actions. Due to imperfect knowledge about the agent's behavior and the environment, it is …

This article provides new techniques for optimizing domain design for goal and plan
recognition using plan libraries. We define two new problems: Goal Recognition Design for …

Smart environments can already observe the actions of a human through pervasive sensors.
Based on these observations, our work aims to predict the actions a human is likely to …

Hierarchical task network (HTN) planning is a model-based approach to planning. The HTN
domain model consists of tasks and methods to decompose them into subtasks until …

Automated care systems are becoming more tangible than ever: recent breakthroughs in
robotics and machine learning can be used to address the need for automated care created …

Hierarchical Task Networks were proposed as a method to describe plans by decomposition
of tasks to subtasks until primitive tasks, actions, are obtained. Valid plans-sequences of …

Earley Parser is a top-down parser proposed for context-free grammars and used, for
example, in the grammar constraint. Parsing trees of context-free grammars are very close to …