Multiagent-Based Intelligent Environments

Intelligent Environments can respond to the changing §needs of their users, activities, and contexts by §automatically adjust key environmental parameters. §However, most of attempts focus on the technical §aspects of physical artifacts instead of the dynamic §interrelationship between the user and the built §environment. Consequently, environmental conflicts §among users, activities, and physical settings §are not completely resolved. This study engages §environmental design concepts to theorize a §framework and propose a more comprehensive model for §building Intelligent Environments. In contrast to §the current approach based on systems theory, the §method here looks to collaborative design. The §proposed model is developed as a team-type §organization of multiple intelligent agents that can §sense immediate changes in its domain of §responsibility and propose corrective measures by §negotiating with other agents to form a collective §response. The theory and framework presented in this §study should be useful to those who have an interest §in the application of computing to the environmental §design fields, including architecture and interior §design.