Abstract
PCP-nets generalize CP-nets to model conditional preferences with probabilistic uncertainty. In this paper we use PCP-nets in a multiagent context to compactly represent a collection of CP-nets, thus using probabilistic uncertainty to reconcile possibly conflicting qualitative preferences expressed by a group of agents. We then study two key preference reasoning tasks: finding an optimal outcome which best represents the preferences of the agents, and answering dominance queries. Our theoretical and experimental analysis demonstrates that our techniques are efficient and accurate for both reasoning tasks.
| Original language | English |
|---|---|
| Title of host publication | AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems |
| Editors | Edith Elkind, Gerhard Weiss, Pinar Yolum, Rafael H. Bordini |
| Pages | 969-977 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781450337700 |
| State | Published - 2015 |
| Event | 14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 - Istanbul, Turkey Duration: May 4 2015 → May 8 2015 |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| Volume | 2 |
| ISSN (Print) | 1548-8403 |
| ISSN (Electronic) | 1558-2914 |
Conference
| Conference | 14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 5/4/15 → 5/8/15 |
Bibliographical note
Publisher Copyright:Copyright © 2015, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Keywords
- Multi-agent systems
- Preference modelling
- Preference reasoning
- Reasoning with uncertainty
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Control and Systems Engineering