Abstract
Our hypothesis is that by equipping certain agents 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.
Full paper: PDF, PS (6 pages, 19 references)
Citings
Vipul Singhvi, Andreas Krause, Carlos Guestrin, James H. Garrett, Jr., and H. Scott Matthews. 2005. Intelligent light control using sensor networks. In Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, 218–229. ACM Press
V. Julian, C. Carrascosa, M. Rebollo, J. Soler, and V. Botti. 2002. SIMBA: An approach for real-time multi-agent systems. In Proceedings of the 5th Catalonian Conference on Articicial Intelligence, 282–293. Springer.
Yang Xiang. 2002. Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach. Cambridge University Press.
Martin Mundhenk, Judy Goldsmith, Christopher Lusena, and Eric Allender. 2000. Complexity of finite-horizon Markov decision process problems. Journal of the ACM 47(4):681–720.
|
|
Håkan L. S. Younes | [ Home > Publications ] |
| Last modified: Mon Feb 13 14:49:44 EST 2006 |