Abstract Language has been widely acknowledged as the benchmark of intelligence.
However, evidence from cognitive science shows that intelligent behaviors in robust social …

We study the machine's understanding of embodied reference: One agent uses both
language and gesture to refer to an object to another agent in a shared physical …

In this article, we propose a communicative learning (CL) formalism that unifies existing
machine learning paradigms, such as passive learning, active learning, algorithmic …

People often give instructions whose meaning is ambiguous without further context,
expecting that their actions or goals will disambiguate their intentions. How can we build …

The human mind is a mosaic composed of multiple selves with conflicting desires. How can
coherent actions emerge from such conflicts? Classical desire theory argues that rational …

Humans naturally use referring expressions with verbal utterances and nonverbal gestures
to refer to objects and events. As these referring expressions can be interpreted differently …

Humans naturally use verbal utterances and nonverbal gestures to refer to various objects
(known as $\textit {referring expressions} $) in different interactional scenarios. As collecting …

Human collaboration often involves a decision to pursue one out of multiple comparable
goals, in which case it is challenging to remain committed to the same goal collectively …

We advance a novel computational model of multi-agent, cooperative joint actions that is
grounded in the cognitive framework of active inference. The model assumes that to solve a …

We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot
Interaction (HRI), which establishes a bi-directional communication between human agents …