Abstract Intelligent Virtual Agents (IVAs) can provide users with a friendly experience and
have a wide range of applications in the era of artificial intelligence. However, most of …

Abstract Kahl et al.,(2022) present a computational model of an autonomous agent
implemented with an active self. With ideas based on the Free Energy Principle (Friston and …

Human body experience is remarkably flexible, which enables us to integrate passive tools
as well as intelligent robotic devices into our body representation. Accordingly, it can serve …

The sense of control (SoC) is the subjective feeling of being in control over an action,
influenced by controllability, difficulty and feedback. However, it remains unclear how SoC is …

Autonomous intelligent systems are often trained using reinforcement learning (RL), which
however is difficult and inefficient in dynamic uncertain environments. Different approaches …

Living systems process sensory data to facilitate adaptive behavior. A given sensor can be
stimulated as the result of internally driven activity, or by purely external (environmental) …

The burgeoning field of Artificial Intelligence (AI) increasingly focuses on develo**
systems capable of self-awareness, merging technological innovation with deep ethical and …

How humans engage in goal-directed behavior within dynamic environments is still not
completely understood. Pursuing goals in an environment that is characterized by constant …

This report documents the program and the outcomes of Dagstuhl Seminar 22102
“Computational Models of Human-Automated Vehicle Interaction”. At this Dagstuhl Seminar …

The complexity and unpredictability of a situation might contribute to how much an individual
feels in control of their actions. Goal-directed behaviour tailored to different situations is …