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 …

Studying the behavior of users in software systems has become an essential task for
software vendors who want to mitigate usability problems and identify automation potentials …

In the Agent-Based Modeling (ABM) paradigm, an organization is a Multi-Agent System
(MAS) composed of autonomous agents inducing business processes. Process Mining …

The problem of goal recognition requests to automatically infer an accurate probability
distribution over possible goals an autonomous agent is attempting to achieve in the …

Agent-based modeling is widely used for modeling and simulation of self-organizing
sociotechnical systems that are composed of distributed autonomous agents. In these …

Sequence classification is the task of predicting a class label given a sequence of
observations. In many applications such as healthcare monitoring or intrusion detection …

Goal Recognition is the task of inferring an agent's intentions from a set of observations.
Existing recognition approaches have made considerable advances in domains such as …

Goal Recognition (GR) is a research problem that studies ways to infer the goal of an
intelligent agent based on its observed behavior and knowledge of the environment in which …

A transhumeral prosthesis restores missing anatomical segments below the shoulder,
including the hand. Active prostheses utilize real-valued, continuous sensor data to …

Goal or intent recognition, where one agent recognizes the goals or intentions of another,
can be a powerful tool for effective teamwork and improving interaction between agents …