Introduction to Multiagent Systems
Introduction to Multiagent Systems
Saving Energy and Providing Value Added Services in Intelligent Buildings: A MAS Approach
ASA/MA 2000 Proceedings of the Second International Symposium on Agent Systems and Applications and Fourth International Symposium on Mobile Agents
A Multi-Agent System for Controlling Intelligent Buildings
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Creating an Ambient-Intelligence Environment Using Embedded Agents
IEEE Intelligent Systems
Distributed monitoring and control of office buildings by embedded agents
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent embedded agents
Artificial decision making under uncertainty in intelligent buildings
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Control and learning of ambience by an intelligent building
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A semiotic multi-agent system for intelligent building control
Proceedings of the 1st international conference on Ambient media and systems
Agents for energy efficiency in ubiquitous environments
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Analysing the low quality of the data in lighting control systems
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
A migration-based approach towards resource-efficient wireless structural health monitoring
Advanced Engineering Informatics
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Energy efficiency and occupants' comfort are two important factors for evaluating the performance of a modern work environment. While energy efficiency, pivotal to energy savings, has been improving steadily over the past decades, a great effort has been made to address occupants' comfort, pivotal to work productivity, too. Not surprisingly, many researchers have endeavored to combine the expertise from the two areas to create an intelligent work environment, where energy efficiency is achieved without compromising occupants' comfort. Previous studies provide insightful discussions and exciting experiments. Most of them, however, stopped short of commercialization and adoption in daily life due to the limitations of hardware and software technologies at the time. With the advance of agent technology, wireless sensor network and open standards in building automation/management systems, it is now feasible to build such an intelligent system for energy efficient and occupants satisfied building control, as envisaged and explored by those pioneers. This paper introduces some ongoing research on developing a multi-agent system that combines an EDA agent model, personalized space, policy management, building performance quotient, wireless sensor network, and building automation/management system to provide an intelligent work environment.