An intelligent environment must be adaptive

IEEE Intelligent Systems and Their Applications

Volumn 14, Issue 2, 1999, Pages 11-13

  Mozer, Michael C ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85008521419     PISSN: 10947167     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.1999.757623     Document Type: Article

References (4)

1. M.C. Mozer, L. Vidmar, and R.H. Dodier, “The Neurothermostat: Adaptive Control of Residential Heating Systems,” in Advances in Neural Information Processing Systems 9, M.C. Mozer, M.I. Jordan, and T. Petsche, eds., MIT Press, Cambridge, Mass., 1997, pp. 953–959.
2. M.C. Mozer and D. Miller, “Parsing the Stream of Time: The Value of Event-Based Segmentation in a Complex, Real-World Control Problem,” in Adaptive Processing of Temporal Sequences and Data Structures, C.L. Giles and M. Gori, eds., Springer Verlag, Berlin, 1998, pp. 370–388.
3. M.C. Mozer, “The Neural Network House: An Environment that Adapts to Its Inhabitants” Proc. AAAI Spring Symp. Intelligent Environments, M. Coen ed., AAAI Press, Menlo Park, Calif., 1998, pp. 110–114.
4. R.S. Sutton and A.G. Barto, Reinforcement Learning: An Introduction, MIT Press, 1998.