Abstract
ConArg is a tool based on Constraint Programming which is able to model and solve different problems related to Argumentation Frameworks (AFs). To practically implement the tool, we have used JaCoP, a Java library which provides the user with a Finite Domain Constraint Programming paradigm. Constraint Satisfaction Problems (CSPs) offer a wide number of efficient techniques (as inference and search algorithms) that can tackle the complexity in finding all the possible Dung’s conflict-free, admissible, complete and stable extensions in AFs. Moreover, we can use the tool to solve some of the preference-based problems presented in literature. ConArg is able to randomly generate networks with small-world properties in order to find Dung’s extensions on such interaction graphs. We present the main features of ConArg and we report the performance in time.
Research partially supported by MIUR PRIN 20089M932N project: “Innovative and multi-disciplinary approaches for constraint and preference reasoning”, by CCOS FLOSS project “Software open source per la gestione dell’epigrafia dei corpus di lingue antiche”, and by INDAM GNCS project “Fairness, Equità e Linguaggi”.
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Bistarelli, S., Santini, F. (2012). Modeling and Solving AFs with a Constraint-Based Tool: ConArg. In: Modgil, S., Oren, N., Toni, F. (eds) Theorie and Applications of Formal Argumentation. TAFA 2011. Lecture Notes in Computer Science(), vol 7132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29184-5_7
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DOI: https://doi.org/10.1007/978-3-642-29184-5_7
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