Abstract
Abstract dialectical frameworks are a unifying model of formal argumentation, where argumentative relations between arguments are represented by assigning acceptance conditions to atomic arguments. Their generality allows them to cover a number of different approaches with varying forms of representing the argumentation structure. Boolean regulatory networks are used to model the dynamics of complex biological processes, taking into account the interactions of biological compounds, such as proteins or genes. These models have proven highly useful for comprehending such biological processes, allowing to reproduce known behaviour and testing new hypotheses and predictions in silico, for example in the context of new medical treatments. While both these approaches stem from entirely different communities, it turns out that there are striking similarities in their appearence. In this paper, we study the relation between these two formalisms revealing their communalities as well as their differences, and introducing a correspondence that allows to establish novel results for the individual formalisms.
Original language | English |
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Title of host publication | Logic Programming and Nonmonotonic Reasoning - 17th International Conference, LPNMR 2024, Proceedings |
Editors | Carmine Dodaro, Gopal Gupta, Maria Vanina Martinez |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 98-111 |
Number of pages | 14 |
ISBN (Print) | 9783031742088 |
DOIs | |
Publication status | Published - 2025 |
Event | 17th International Conference on Logic Programming and Non-monotonic Reasoning - Dallas, United States Duration: 11 Oct 2024 → 14 Oct 2024 Conference number: 17 https://lpnmr2024.demacs.unical.it/ |
Publication series
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 15245 LNAI |
ISSN | 0302-9743 |
Conference
Conference | 17th International Conference on Logic Programming and Non-monotonic Reasoning |
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Abbreviated title | LPNMR 2024 |
Country/Territory | United States |
City | Dallas |
Period | 11/10/24 → 14/10/24 |
Internet address |