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AAMAS 2026

Equilibria in Quantitative Bipolar Argumentation Dialogues

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

We introduce MQBAFs, multi-agent extensions of quantitative bipolar argumentation frameworks (QBAFs). In MQBAFs, agents have objectives to maximise or minimise the strengths of some arguments, andestablishpreferencesovertheseobjectives. Agentsmake utterances by adding or removing arguments or attacks to/from a QBAF, or by changing arguments’ initial strengths. We then define equilibria for MQBAFs, in which no rational agent would make any additional utterance. The notion of MQBAF opens quantitative bipolar argumentation to principled strategic analysis.

Authors

Keywords

  • Formal Argumentation
  • Rationality
  • Equilibrium

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
753345860473375933
v2026.09.13