Computational Models of Argumentation  are approaches to knowledge representation and reasoning that focus on the interplay between arguments and counterarguments in order to reach decisions. One of the most popular formalisms in this area are abstract argumentation frameworks  which model argumentation scenarios as directed graphs, with vertices representing arguments and a directed edge representing an attack of one argument on another. Semantics are given to such frameworks by means of so-called extensions, i.e. sets of arguments that are mutually acceptable. The development of algorithms to compute extensions is a core requirement to make such models of argumentation practically relevant and has recently gathered major interest .
This bachelor thesis is about the development of an algorithm and an implemented system that solves problems wrt. the "grounded semantics" of abstract argumentation frameworks, one of the most important semantics that defines "acceptability" and the only one where all reasoning tasks can be solved in polynomial time. A core component for the algorithm will be a priority queue that orders the arguments of a framework wrt. to their remaining attacks. The current reference implementation Harper  uses a binary heap for this priority queue. The task of the bachelor thesis is to implement further priority queues such as  in C and compare their performance in order to find the best priority queue implementation for reasoning with abstract argumentation frameworks.
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