An Agent-Based Extensible Climate Control System for Sustainable Greenhouse Production

被引：0

作者：

Sorensen, Jan Corfixen ^{[1
]}

Jorgensen, Bo Norregaard ^{[1
]}

Klein, Mark ^{[2
]}

Demazeau, Yves ^{[3
]}

机构：

[1] Univ So Denmark, Maersk McKinney Moller Inst, Campusvej 55, DK-5230 Odense M, Denmark

[2] MIT, Sloan Sch Management, Ctr Collective Intelligence, Cambridge, MA 02139 USA

[3] CNRS, Lab Informat Grenoble, F-38041 Grenoble, France

来源：

AGENTS IN PRINCIPLE, AGENTS IN PRACTICE | 2011年 / 7047卷

关键词：

Feature interaction; Negotiation; Resource contention;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The slow adoption pace of new control strategies for sustainable greenhouse climate control by industrial growers, is mainly due to the complexity of identifying and resolving potentially conflicting climate control requirements. In this paper, we present a multi-agent-based climate control system that allows new control strategies to be adopted without any need to identify or resolve conflicts beforehand. This is achieved by representing the climate control requirements as separate agents. Identifying and solving conflicts then becomes a negotiation problem among agents sharing the same controlled environment. Negotiation is done using a novel multi-objective negotiation protocol that uses a generic algorithm to find an optimized solution within the search space. The multi-agent-based control system has been empirically evaluated in an ornamental floriculture research facility in Denmark. The evaluation showed that it is realistic to implement the climate control requirements as individual agents, thereby opening greenhouse climate control systems for integration of independently produced control strategies.

引用

页码：218 / +

页数：3

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