Our research is mainly focused on
different aspects of agent cognition and decision-making, as well
as natural communication between artificial agents and human
users. Our interests cover agent (and robot) decision-making in
general, but also the various subsystems (vision, hearing, speech
etc.) required for human-agent interaction. A specific kind of
agent of great interest to us are so called conversational agents
that are centered on verbal communication with human users.
In general, an agent can be implemented either completely in
software (e.g. with an animated face on a screen) or in hardware
(e.g. a robot or an autonomous vehicle). Moreover, even
though our main interest concerns artificial systems, and
specifically implementable models of cognition, we are also
studying aspects of biological systems (such as models of human
decision-making in drivers of vehicles) and
biologically inspired methods for learning using, for
example, spiking neural networks.
The ultimate aim of our research is to make robust, useful, and
friendly artificial systems whose intereraction with a human user
is indistinguishable from an interaction with another human.
Note: This page is under construction (Oct. 2018). Specific
project links will be added later.
For information regarding master theses, click