AAMAS 2026
Equilibria in Quantitative Bipolar Argumentation Dialogues
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
Context
- Venue
- International Conference on Autonomous Agents and Multiagent Systems
- Archive span
- 2002-2026
- Indexed papers
- 8043
- Paper id
- 753345860473375933