Models@ run. time: a guided tour of the state of the art and research challenges

N Bencomo, S Götz, H Song - Software & Systems Modeling, 2019 - Springer
More than a decade ago, the research topic models@ run. time was coined. Since then, the
research area has received increasing attention. Given the prolific results during these …

Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness

P Pataranutaporn, R Liu, E Finn, P Maes - Nature Machine Intelligence, 2023 - nature.com
As conversational agents powered by large language models become more human-like,
users are starting to view them as companions rather than mere assistants. Our study …

A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions

E Henrichs, V Lesch, M Straesser, S Kounev… - Information and …, 2022 - Elsevier
Context: Recent developments in modern IT systems including internet of things, edge/fog
computing, or cyber–physical systems support intelligent and seamless interaction between …

Ironies of artificial intelligence

MR Endsley - Ergonomics, 2023 - Taylor & Francis
Abstract Bainbridge's Ironies of Automation was a prescient description of automation
related challenges for human performance that have characterised much of the 40 years …

A roadmap toward the resilient internet of things for cyber-physical systems

D Ratasich, F Khalid, F Geissler, R Grosu… - IEEE …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is a ubiquitous system connecting many different devices-the
things-which can be accessed from the distance. The cyber-physical systems (CPSs) …

[图书][B] Tactile internet: With human-in-the-Loop

FHP Fitzek, SC Li, S Speidel, T Strufe, M Simsek… - 2021 - books.google.com
Tactile Internet with Human-in-the-Loop describes the change from the current Internet,
which focuses on the democratization of information independent of location or time, to the …

Self-improving system integration: Mastering continuous change

K Bellman, J Botev, A Diaconescu, L Esterle… - Future Generation …, 2021 - Elsevier
The research initiative “self-improving system integration”(SISSY) was established with the
goal to master the ever-changing demands of system organisation in the presence of …

Self-aware cyber-physical systems

K Bellman, C Landauer, N Dutt, L Esterle… - ACM transactions on …, 2020 - dl.acm.org
In this article, we make the case for the new class of Self-aware Cyber-physical Systems. By
bringing together the two established fields of cyber-physical systems and self-aware …

Novelty detection in continuously changing environments

C Gruhl, B Sick, S Tomforde - Future Generation Computer Systems, 2021 - Elsevier
Self-improving system integration (SISSY) aims at mastering the challenges of system
organisation decisions for subsystems with highly dynamic behaviours. This is achieved by …

Reflective artificial intelligence

PR Lewis, Ş Sarkadi - Minds and Machines, 2024 - Springer
As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to
machines. However, today's AI systems usually do these tasks with an unusual imbalance of …