We understand a socio-technical system (STS) as a cyber-physical system in which two or
more autonomous parties interact via or about technical elements, including the parties' …

As the digitalization of the human world progresses, people, systems, machines, and other
entities are forming dynamic and unpredictable ecosystems. Such ecosystems emerge from …

We address the question of how an agent can adapt its behavior to comply with newly
adopted norms. This is particularly relevant in the case of open systems where agents may …

This work gives a logical characterization of the (ethical and social) obligations of an agent
trained with Reinforcement Learning (RL). An RL agent takes actions by following a utility …

This paper discusses the role that expectations have in agent reasoning, and focuses on the
author's previous work on modelling and monitoring expectations with a complex temporal …

Reinforcement learning (RL) has shown promise as a tool for engineering safe, ethical, or
legal behaviour in autonomous agents. Its use typically relies on assigning punishments to …

Artificial Institutions are often considered as systems where the regulation defined through
norms is based on an interpretation of the concrete world where the agents are situated and …

This thesis studies how to generate, represent and reason about norms and how to use
norms to construct artificial ethical agents. We investigate two types of norm generation …

In this dissertation we investigate how to reason about an autonomous system's obligations.
In particular, we explore how to verify, elicit, and enforce rules about how a system should …

Artificial Institutions are systems where the regulation defined through norms is based on an
interpretation of the concrete world where the agents are situated and interact. Such …