no code implementations • 5 Feb 2024 • Till Hofmann, Stefan Schupp, Gerhard Lakemeyer
The most commonly used approach represents time by adding a real-valued fluent $\mathit{time}(a)$ that attaches a time point to each action and consequently to each situation.
1 code implementation • 4 Oct 2023 • Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst
In this study, we examine how event data from campus management systems can be used to analyze the study paths of higher education students.
no code implementations • 27 Jul 2023 • Hayyan Helal, Gerhard Lakemeyer
Many planning formalisms allow for mixing numeric with Boolean effects.
no code implementations • 22 Nov 2022 • Miriam Wagner, Hayyan Helal, Rene Roepke, Sven Judel, Jens Doveren, Sergej Goerzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, Wil van der Aalst
This paper presents an approach of using methods of process mining and rule-based artificial intelligence to analyze and understand study paths of students based on campus management system data and study program models.
no code implementations • 20 Jul 2022 • Timo Rohrer, Anahita Farhang Ghahfarokhi, Mohamed Behery, Gerhard Lakemeyer, Wil M. P. van der Aalst
Objects in OCEL can have attributes that are useful in predicting the next event and timestamp, such as a priority class attribute for an object type package indicating slower or faster processing.
no code implementations • 20 Jun 2022 • Daniel Swoboda, Till Hofmann, Tarik Viehmann, Gerhard Lakemeyer
One technique to tackle this problem is goal reasoning, where the agent not only reasons about its actions, but also about which goals to pursue.
no code implementations • 26 Apr 2022 • Daxin Liu, Gerhard Lakemeyer
In this paper, we propose a formalism for belief programs based on a modal logic of actions and beliefs.
no code implementations • 19 Feb 2021 • Till Hofmann, Gerhard Lakemeyer
We show that for programs over finite domains and with fully known initial state, the problem of synthesizing a controller that satisfies the constraints while preserving the effects of the original program can be reduced to MTL synthesis.
1 code implementation • ACL 2021 • Yiran Xing, Zai Shi, Zhao Meng, Gerhard Lakemeyer, Yunpu Ma, Roger Wattenhofer
We present Knowledge Enhanced Multimodal BART (KM-BART), which is a Transformer-based sequence-to-sequence model capable of reasoning about commonsense knowledge from multimodal inputs of images and texts.
no code implementations • 12 Nov 2017 • Francesco Leofante, Erika Ábrahám, Tim Niemueller, Gerhard Lakemeyer, Armando Tacchella
In manufacturing, the increasing involvement of autonomous robots in production processes poses new challenges on the production management.