Topic
Preference Modeling and Reasoning, Decision Making, Agent-based Negotiation
Abstract
Users' preferences play a key role in automated negotiation since they dictate how an agent will act on behalf of its user. However, elicitation of these preferences from the user is difficult when there are dependencies between preferences. In many settings, expecting a user to provide a total ordering of her preferences is unrealistic. Thus, it is essential to build agents that can negotiate with only partial preference information. In order to achieve this goal, we develop negotiation strategies that work on qualitative preference representations, such as CP-nets that require only partial preference information.
Bibtex info
@inproceedings{aydoundefinedan_effective_2010,
address = {Richland, SC},
series = {{AAMAS} '10},
title = {Effective {Negotiation} with {Partial} {Preference} {Information}},
isbn = {978-0-9826571-1-9},
abstract = {Users' preferences play a key role in automated negotiation since they dictate how an agent will act on behalf of its user. However, elicitation of these preferences from the user is difficul when there are dependencies between preferences. In many settings, expecting a user to provide a total ordering of her preferences is unrealistic. Thus, it is essential to build agents that can negotiate with only partial preference information. In order to achieve this goal, we develop negotiation strategies that work on qualitative preference representations, such as CP-nets that require only partial preference information.},
booktitle = {Proceedings of the 9th {International} {Conference} on {Autonomous} {Agents} and {Multiagent} {Systems}: {Volume} 1 - {Volume} 1},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
author = {Aydoundefinedan, Reyhan and Yolum, Pinar},
year = {2010},
note = {event-place: Toronto, Canada},
keywords = {negotiation, preference, testing of agent systems},
pages = {1605--1606},
}
Publication type
Conference paper
Year
2010