Search Results for author: Srdjan Vesic

Found 7 papers, 0 papers with code

The Inverse Problem for Argumentation Gradual Semantics

no code implementations1 Feb 2022 Nir Oren, Bruno Yun, Srdjan Vesic, Murilo Baptista

A sub-class of such semantics, the so-called weighted semantics, takes, in addition to the graph structure, an initial set of weights over the arguments as input, with these weights affecting the resultant argument ranking.

Abstract Argumentation

Dung's semantics satisfy attack removal monotonicity

no code implementations8 Jul 2020 Leila Amgoud, Srdjan Vesic

We show that preferred, stable, complete, and grounded semantics satisfy attack removal monotonicity.

Representing Pure Nash Equilibria in Argumentation

no code implementations19 Jun 2020 Bruno Yun, Srdjan Vesic, Nir Oren

In this paper we describe an argumentation-based representation of normal form games, and demonstrate how argumentation can be used to compute pure strategy Nash equilibria.

Agenda Separability in Judgment Aggregation

no code implementations22 Apr 2016 Jérôme Lang, Marija Slavkovik, Srdjan Vesic

One of the better studied properties for operators in judgment aggregation is independence, which essentially dictates that the collective judgment on one issue should not depend on the individual judgments given on some other issue(s) in the same agenda.

A partial taxonomy of judgment aggregation rules, and their properties

no code implementations20 Feb 2015 Jerôme Lang, Gabriella Pigozzi, Marija Slavkovik, Leendert van der Torre, Srdjan Vesic

The literature on judgment aggregation is moving from studying impossibility results regarding aggregation rules towards studying specific judgment aggregation rules.

Identifying the Class of Maxi-Consistent Operators in Argumentation

no code implementations4 Feb 2014 Srdjan Vesic

An important question is then: what is the class of logics that can be subsumed as instantiations of this theory?

Abstract Argumentation

Cannot find the paper you are looking for? You can Submit a new open access paper.