Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Recognizing the actions, plans, and goals of a person in an unconstrained environment is a
key feature that future robotic systems will need in order to achieve a natural human …

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

The objective of goal recognition is to infer a goal that accounts for the observed behavior of
an actor. In this work, we introduce and formalize the notion of active goal recognition in …

Users of AI systems may rely upon them to produce plans for achieving desired objectives.
Such AI systems should be able to compute obfuscated plans whose execution in …

Goal Recognition is the task of inferring an agent's goal, from a set of hypotheses, given a
model of the environment dynamic, and a sequence of observations of such agent's …

Privacy Preserving Plans in Partially Observable Environments Page 1 Privacy Preserving Plans
in Partially Observable Environments Using Goal Recognition Design for Improved Privacy …

Every model involves assumptions. While some are standard to all models that simulate
intelligent decision-making (eg, discrete/continuous, static/dynamic), goal recognition is well …

Abstract Goal Recognition Design (GRD) problems involve identifying the best ways to
modify the underlying environment that the agents operate in, typically by making a subset of …

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 …