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Dynamic Derivations for Sequent-Based Logical Argumentation
Ofer Arieli, Christian Strasser
89 - 100
10.3233/978-1-61499-436-7-89
Frontiers in Artificial Intelligence and Applications
Volume 266: Computational Models of Argument
Abstract

We introduce a general approach for representing and reasoning with argumentation-based systems. In our framework arguments are represented by Gentzen-style sequents, attacks (conflicts) between arguments are represented by sequent elimination rules, and deductions are made by dynamic proof systems. This framework accommodates different languages and logics in which arguments may be represented, supports a variety of attack relations, and tolerates dynamic changes in the argumentation setting by revising derivations of assertions in light of new information.

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