Title
Artificial decision making under uncertainty in intelligent buildings
Abstract
Our hypothesis is that by equipping certain in a multi-agent system controlling an intelligent building with automated decision support, two important factors will be increased. The first is energy saving in the building. The second is customer value-how the people in the building experience the effects of the actions of the agents. We give evidence for the truth of this hypothesis through experimental findings related to tools for artificial decision making. A number of assumptions related to agent control, through monitoring and delegation of tasks to other kinds of agents, of rooms at a test site are relaxed. Each assumption controls at least one uncertainty that complicates considerably the procedures for selecting actions part of each such agent. We show that in realistic decision situations, room-controlling agents can make bounded rational decisions even under dynamic real-time constraints. This result can be, and has been, generalized to other domains with even harsher time constraints.
Year
Venue
Keywords
2013
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
realistic decision situation,building experience,intelligent building,actions part,automated decision support,room-controlling agent,rational decision,assumption control,agent control,artificial decision,multi agent system
DocType
Volume
ISBN
Journal
abs/1301.6680
1-55860-614-9
Citations 
PageRank 
References 
8
2.26
8
Authors
3
Name
Order
Citations
PageRank
Magnus Boman122749.08
Paul Davidsson231553.19
Håkan L. S. Younes399660.21