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Staff photo Andreas Brännström

Andreas Brännström

I am studying ways for artificial intelligent systems to understand human behavior in order to improve strategic decision-making in their interactions with humans.



Works at

Doctoral student at Department of Computing Science
MIT-huset, Umeå universitet, MIT.D.416 Umeå universitet, 901 87 Umeå

My Research and Background | Google Scholar | ResearchGate

In my research, I aim to provide artificial intelligent systems with decision-making models that consider human mental attributes, such as: beliefs, values, goals and intentions. Decision-making models are based on formalizations of psychological theories. To this end, I develop formal reasoning models, using non-monotonic reasoning techniques such as Formal Argumentation and Answer Set Programming. The models are evaluated from formal, practical and ethical points of view.

Proceedings of the 14th International Conference on Agents and Artificial Intelligence: Volume 3, SciTePress 2022 : 705-714
Brännström, Andreas; Kampik, Timotheus; Ruiz-Dolz, Ramon; et al.
EMAS’22: 10th International Workshop on Engineering Multi-Agent Systems @ AAMAS, Virtual Event, May 9-10, 2022
Brännström, Andreas; Nieves, Juan Carlos
Logic Programming and Nonmonotonic Reasoning: 16th International Conference, LPNMR 2022, Genova, Italy, September 5–9, 2022, Proceedings, Springer 2022 : 103-116
Brännström, Andreas; Nieves, Juan Carlos
CHAI Workshop, July 24, 2022: Accepted papers
Wester, Joel; Brännström, Andreas; Nieves, Juan Carlos
Online Handbook ofArgumentation for AI: Volume 2 : 2-6
Andreas, Brännström
Proceedings of the International Conference on Logic Programming 2021 Workshops, Porto, Portugal, September 20-21, 2021
Brännström, Andreas; Nieves, Juan Carlos
Workshop Program
Brännström, Andreas; Kampik, Timotheus; Nieves, Juan Carlos