Software testing is a crucial component of software engineering that aims to confirm the
intended functionality of software modules and minimize the likelihood of future failures. This …

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 …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

In real-world multi-agent systems, agents with different capabilities may join or leave without
altering the team's overarching goals. Coordinating teams with such dynamic composition is …

Previous approaches to select agents to form a team rely on single-agent capabilities, and
team performance is treated as a sum of such known capabilities. Motivated by complex …

In the ad hoc teamwork setting, a team of agents needs to perform a task without prior
coordination. The most advanced approach learns policies based on previous experiences …

Roles such as leading and following can emerge naturally in human groups. However, in
human–robot teams, such roles are often predefined due to the difficulty of scalably learning …

This paper addresses the problem of ad hoc teamwork, where a learning agent engages in
a cooperative task with other (unknown) agents. The agent must effectively coordinate with …

As autonomous agents proliferate in the real world, both in software and robotic settings,
they will increasingly need to band together for cooperative activities with previously …

Co-evolutionary algorithms have successfully trained agent teams for tasks such as
autonomous exploration or robot soccer. However generally, such approaches seek a single …