Managing adaptive versatile environments

Proceedings - Third IEEE International Conference on Pervasive Computing and Communications, PerCom 2005

Volumn 2005, Issue , 2005, Pages 351-360

  Youngblood, G Michael ^a   Holder, Lawrence B ^a   Cook, Diane J ^a  

^a University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INHABITANT INTERACTIONS; INTELLIGENT ENVIRONMENTS; MANAGE ADOPTIVE VERSATILE ENVIRONMENTS;

ARTIFICIAL INTELLIGENCE; COMMUNICATION; COMPUTER ARCHITECTURE; EVALUATION;

COMPUTATION THEORY;

EID: 33646589286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PERCOM.2005.23     Document Type: Conference Paper

References (20)

1. G. D. Abowd, A. Battestini, and T. O'Connell. The Location Service: A Framework for Handling Multiple Location Sensing Technologies, 2002.
2. AHRI. [AHRI] - Aware Home Research Initiative, Oct 2003.
3. AIRE Group. MIT Project AIRE - About Us, Jan 2004.
4. Apple Computer, Inc. Developer-rendezvous, 2004. http://developer.apple. com/macosx/rendezvous/.
5. S. Cheshire. Zero Configuration Networking (Zeroconf), Jan 2004.
6. S. K. Das, D. J. Cook, A. Bhattacharya, E. O. H. III, and T.-Y. Lin. The Role of Prediction Algorithms in the MavHome Smart Home Architecture. IEEE Wireless Communications Special Issue on Smart Homes, 9(6):77-84, 2002.
7. S. Fine, Y. Singer, and N. Tishby. The Hierarchical Hidden Markov Model: Analysis and Applications, Machine Learning, 32(1):41-62, 1998. http://citeseer.nj.nec.com/fine98hierarchical.html.
8. Gaia Project. Gaia homepage, 2004. http://gaia.cs.uiuc.edu.
9. K. Gopalratnam and D. J. Cook. Active LeZi: An Incremental Parsing Algorithm for Device Usage Prediction in the Smart Home. In Proceedings of the Florida Artificial Intelligence Research Symposium, pages 38-42, May 2003.
10. D. Grisby. omniORB, Jan 2004.
11. E. Heierman and D. J. Cook. Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns. In Proceedings of the International Conference on Data Mining, 2003.
12. M. Mozer. An Intelligent Environment must be Adaptive. IEEE Intelligent Systems, 14(2): 11-13, March/April 1999.
13. Object Management Group. Object Management Group, Jan 2004.
14. PostgreSQL Global Development Group. PostgreSQL, 2004. http://www.postgresql.org/.
15. J. Rissanen. Stochastic Complexity in Statistical inquiry. World Scientific Publishing Company, 1989.
16. D. Salber, A. K. Dey, and G. D. Abowd. The context toolkit: Aiding the development of context-enabled applications. In CHI, pages 434-441, 1999.
17. Stanford Interactivity Lab. Interactive Workspaces, Oct 2003.
18. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, 1998. A Bradford Book.
19. G. Theocharous, K. Rohanimanesh, and S. Mahadevan. Learning Hierarchical Partially Observable Markov Decision Processes for Robot Navigation, 2001. http://citeseer.nj.nec.com/theocharous011earning.html.
20. X10 Corporation. X10.com, 2004. http://www.x10.com.