In human evolution, learning has evolved as a key strategy for adaptation. While animals
adapt on the basis of their own experiences, humans integrate complex forms of interaction …

This paper presents a retrospective overview of a decade of research in our department
towards self-organizing personal knowledge assistants in evolving corporate memories. Our …

Deep reinforcement learning (DRL) is increasingly applied in large-scale productions like
Netflix and Facebook. As with most data-driven systems, DRL systems can exhibit …

While recent research increasingly showcases the remarkable capabilities of Large
Language Models (LLMs), it's vital to confront their hidden pitfalls. Among these challenges …

Trends like digital transformation even intensify the already overwhelming mass of
information knowledge workers face in their daily life. To counter this, we have been …

This paper summarises several contributions to the theory of belief change by the authors'
dissertation thesis. First, a relational characterization of belief revision for Tarskian logics is …

In organizations the distribution of tasks is a rising challenge in complex and dynamic
environments. By structuring responsibilities and expectations for task processing in roles …

Damit ein Veränderungsprozess erfolgreich gelingt, muss Verhalten angepasst werden.
Veraltete Handlungen dürfen nicht mehr ausgeführt, sondern müssen vergessen werden …

ABSTRACT IT, including AI, has exceeded the humans ability in several areas, including
memorization. Though many people aspire to be able to memorize everything recall it at will …

인공지능 편향은 사회적 영향과 거버넌스의 문제일 뿐만 아니라 인공지능 시스템의
강건성문제이기도 하다. 부호처리 패러다임의 인공지능에서는 제기되지 않던 인공지능 편향 …