Towards autonomic computing: Adaptive job routing and scheduling

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2004, Pages 916-922

  Whiteson, Shimon ^a   Stone, Peter ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MILITARY OPERATIONS ON URBANIZED TERRAIN (MOUT); SPATIAL REASONING; VIRTUAL OPPONENTS; VIRTUAL TRAINING AND ENVIRONMENTS (VIRTE);

AUTOMATION; BEHAVIORAL RESEARCH; COMPUTER APPLICATIONS; COMPUTER SIMULATION; FAULT TOLERANT COMPUTER SYSTEMS; KNOWLEDGE BASED SYSTEMS; PERSONNEL TRAINING; ROBUSTNESS (CONTROL SYSTEMS);

ROUTERS;

EID: 9444271611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Boyan, J. A., and Littman, M. L. 1994. Packet routing in dynamically changing networks: A reinforcement learning approach. In Cowan, J. D.; Tesauro, G.; and Alspector, J., eds., Advances in Neural Information Processing Systems, volume 6, 671-678. Morgan Kaufmann Publishers, Inc.
2. Brachman, R. J. 2002. Systems that know what they're doing. IEEE Intelligent Systems 17(6):67-71.
3. Caro, G. D., and Dorigo, M. 1998. AntNet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research 9:317-365.
4. Clark, D. D.; Partridge, C.; Ramming, J. C.; and Wroclawski, J. 2003. A knowledge plane for the internet. In Proceedings of ACM SIGCOMM.
5. Itao, T.; Suda, T.; and Aoyama, T. 2001. Jack-in-the-net: Adaptive networking architecture for service emergence. In Proc. of the Asian-Pacific Conference on Communications.
6. Kephart, J. O., and Chess, D. M. 2003. The vision of autonomic computing. Computer 41-50.
7. Stone, P., and Veloso, M. 1999. Team-partitioned, opaquetransition reinforcement learning. In Asada, M., and Kitano, H., eds., RoboCup-98: Robot Soccer World Cup II. Berlin: Springer Verlag. Also in Proceedings of the Third International Conference on Autonomous Agents, 1999.
8. Stone, P., and Veloso, M. 1999. Team-partitioned, opaquetransition reinforcement learning. In Asada, M., and Kitano, H., eds., RoboCup-98: Robot Soccer World Cup II. Berlin: Springer Verlag. Also in Proceedings of the Third International Conference on Autonomous Agents, 1999.
9. Sutton, R. S., and Barto, A. G. 1998. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press.
10. Watkins, C. J. C. H. 1989. Learning from Delayed Rewards. Ph.D. Dissertation, King's College, Cambridge, UK.