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.

Modeling and Solving AFs with a Constraint-Based Tool: ConArg

BISTARELLI, Stefano;SANTINI, FRANCESCO
2012

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.
2012
9783642291838
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/313897
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