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 …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

The human ability to reason about the causes behind other people'behavior is critical for
navigating the social world. Recent empirical research with both children and adults …

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

Collaboration requires agents to coordinate their behavior on the fly, sometimes cooperating
to solve a single task together and other times dividing it up into sub‐tasks to work on in …

We propose CX-ToM, short for counterfactual explanations with theory-of-mind, a new
explainable AI (XAI) framework for explaining decisions made by a deep convolutional …

Opponent modeling is the ability to use prior knowledge and observations in order to predict
the behavior of an opponent. This survey presents a comprehensive overview of existing …

Human social behavior is structured by relationships. We form teams, groups, tribes, and
alliances at all scales of human life. These structures guide multi-agent cooperation and …

We propose a new problem we refer to as goal recognitiondesign (grd), in which we take a
domain theory and a set ofgoals and ask the following questions: to what extent do …

Abstract Business Process Management (BPM) is a central element of today's organizations.
Over the years, its main focus has been the support of business processes (BPs) in highly …