Preference elicitation in DCOPs for scheduling devices in smart buildings

Atena M. Tabakhi

Preference elicitation in DCOPs for scheduling devices in smart buildings

Atena M. Tabakhi

Department of Computer Science & Engineering

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

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.

Original language	English
Pages	4989-4990
Number of pages	2
State	Published - 2017
Event	31st AAAI Conference on Artificial Intelligence, AAAI 2017 - San Francisco, United States Duration: Feb 4 2017 → Feb 10 2017

Conference

Conference	31st AAAI Conference on Artificial Intelligence, AAAI 2017
Country/Territory	United States
City	San Francisco
Period	02/4/17 → 02/10/17

Cite this

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Preference elicitation in DCOPs for scheduling devices in smart buildings

Abstract

Conference

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