Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings

Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings
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用于智能建筑中调度设备的 DCOP 中的优先诱导

DOI:
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发表时间:
2017
期刊:
AAAI Conference on Artificial Intelligence
影响因子:
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通讯作者:
Atena M. Tabakhi
Atena M. Tabakhi
中科院分区:
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文献类型:
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作者:
Atena M. Tabakhi

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研究人员使用分布式约束优化问题(DCOPs)作为一种强大的方法来建模各种多智能体协调问题,考虑到他们的偏好和约束。该模型的一个核心限制是假设所有代理人的偏好都是先验指定的。然而,在一些应用领域中,只有在从这些领域的用户那里获得这些知识之后,才能获得这些知识。在这篇摘要中,我们探讨了偏好诱导在我们的激励应用程序调度智能家电的影响,目的是降低用户的电费成本,以及增加他们的舒适度。
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.