Abstract
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 explaining potentially conflicts when integrating independently climate control requirements. In this paper, we show how the satisfiability of agents, implementing independent climate control requirements, can be used to identify and explain conflicting control interactions, which emerge because the agents share the same resources in the controlled environment. Potential conflicts due to unfulfilled climate control requirements correspond to low agent satisfiability. Low satisfiability indicates that an agent’s goal is conflicting with the proposed settings of the greenhouse climate. This allows us to explain to which degree independent climate control requirements are fulfilled by visualizing the satisfiability of the corresponding agents. We have evaluated our approach using real climate control data. The evaluation showed that it is possible to identify and explain conflicts among agents sharing the same controlled environment.
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Sørensen, J.C., Jørgensen, B.N., Demazeau, Y. (2012). Using Agent Satisfiability to Identify and Explain Interactions among Independent Greenhouse Climate Control Requirements. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_4
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DOI: https://doi.org/10.1007/978-3-642-28786-2_4
Publisher Name: Springer, Berlin, Heidelberg
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