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Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities
Artificial Intelligence 293 (C):103449 (2021)
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Citations of this work
Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks.Gianvincenzo Alfano, Marco Calautti, Sergio Greco, Francesco Parisi & Irina Trubitsyna - 2023 - Artificial Intelligence 323 (C):103967.
Syntactic reasoning with conditional probabilities in deductive argumentation.Anthony Hunter & Nico Potyka - 2023 - Artificial Intelligence 321 (C):103934.
Forecasting with jury-based probabilistic argumentation.Francesca Toni, Antonio Rago & Kristijonas Čyras - 2023 - Journal of Applied Non-Classical Logics 33 (3):224-243.
ICCMA 2023: 5th International Competition on Computational Models of Argumentation.Matti Järvisalo, Tuomo Lehtonen & Andreas Niskanen - 2025 - Artificial Intelligence 342 (C):104311.
References found in this work
On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
Applications of Circumscription to Formalizing Common Sense Knowledge.John McCarthy - 1986 - Artificial Intelligence 28 (1):89–116.
Semantic Considerations on nonmonotonic Logic.Robert C. Moore - 1985 - Artificial Intelligence 25 (1):75-94.
The ASPIC+ framework for structured argumentation: a tutorial.Sanjay Modgil & Henry Prakken - 2014 - Argument and Computation 5 (1):31-62.
An abstract, argumentation-theoretic approach to default reasoning.A. Bondarenko, P. M. Dung, R. A. Kowalski & F. Toni - 1997 - Artificial Intelligence 93 (1-2):63-101.
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