no code implementations • 4 Apr 2024 • Yuchen Liu, Luigi Palmieri, Sebastian Koch, Ilche Georgievski, Marco Aiello
Recent advancements in Large Language Models (LLMs) have sparked a revolution across various research fields.
no code implementations • 10 Jul 2023 • Ebaa Alnazer, Ilche Georgievski
Planning is a pivotal ability of any intelligent system being developed for real-world applications.
no code implementations • 25 May 2023 • Marco Aiello, Ilche Georgievski
The paper speculates about how ChatGPT-like systems can support the field of automated service composition and identifies new research areas to explore in order to take advantage of such tools in the field of service-oriented composition.
no code implementations • 22 Apr 2022 • Ebaa Alnazer, Ilche Georgievski, Marco Aiello
In particular, we introduce a general framework for HTN planning that allows modelling risk and uncertainty using a probability distribution of action costs upon which we define risk-aware HTN planning as an approach that accounts for the different risk attitudes and allows computing plans that go beyond risk neutrality.
no code implementations • 16 Apr 2021 • Ilche Georgievski
Cloud providers are facing a complex problem in configuring software applications ready for deployment on their infrastructures.
no code implementations • 22 Feb 2021 • Sebastian Graef, Ilche Georgievski
Artificial Intelligence (AI) planning is a flourishing research and development discipline that provides powerful tools for searching a course of action that achieves some user goal.
no code implementations • 28 Mar 2014 • Ilche Georgievski, Marco Aiello
However, the history of almost 40 years obfuscates the current understanding of HTN planning in terms of accomplishments, planning models, similarities and differences among hierarchical planners, and its current and objective image.