ML Anthology

Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings

Atena M. Tabakhi
AAAI 2017 pp. 4989-4990
doi:10.1609/AAAI.V31I1.11094 /aaai/2017/tabakhi2017aaai-preference/

Abstract

Researchers have used Distributed Constraint Optimization Problems (DCOPs) as a powerful approach to model various multi-agent coordination problems, taking into account their preferences and constraints. A core limitation of this model is the assumption that all agents’ preferences are specified a priori. However, in a number of application domains such knowledge become available only after being elicited from users in these domains. In this abstract, we explore the effects of preference elicitation in our motivating application of scheduling smart appliances with the aim of reducing users’ electricity bill cost as well as increasing their comfort.

PDF AAAI Semantic Scholar

Cite

Text

Tabakhi. "Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.11094

Markdown

[Tabakhi. "Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/tabakhi2017aaai-preference/) doi:10.1609/AAAI.V31I1.11094

BibTeX

@inproceedings{tabakhi2017aaai-preference,
  title     = {{Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings}},
  author    = {Tabakhi, Atena M.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {4989-4990},
  doi       = {10.1609/AAAI.V31I1.11094},
  url       = {https://mlanthology.org/aaai/2017/tabakhi2017aaai-preference/}
}