Arrow Research search
Back to IJCAI

IJCAI 2017

Acceptability Semantics for Weighted Argumentation Frameworks

Conference Paper Agent-based and Multi-agent Systems Artificial Intelligence

Abstract

The paper studies semantics that evaluate arguments in argumentation graphs, where each argument has a basic strength, and may be attacked by other arguments. It starts by defining a set of principles, each of which is a property that a semantics could satisfy. It provides the first formal analysis and comparison of existing semantics. Finally, it defines three novel semantics that satisfy more principles than existing ones.

Authors

Keywords

  • Agent-based and Multi-agent Systems: Agreement Technologies: Argumentation
  • Knowledge Representation, Reasoning, and Logic: Computational models of Argument

Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
583307572101439038
v2026.09.13