Modeling and Solving AFs with a Constraint-Based Tool: ConArg. Bistarelli, S. & Santini, F. 2012.
doi  abstract   bibtex   
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.
@conference{
	11391_313897,
	author = {Bistarelli, Stefano and Santini, Francesco},
	title = {Modeling and Solving AFs with a Constraint-Based Tool: ConArg},
	year = {2012},
	publisher = {Springer-Verlag},
	volume = {7132},
	booktitle = {Theorie and Applications of Formal Argumentation - First International Workshop, TAFA 2011},
	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.},
	doi = {10.1007/978-3-642-29184-5_7},	
	pages = {99--116}
}

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