Multi-agent management of joint schedules

AAAI Spring Symposium - Technical Report

Volumn SS-06-04, Issue , 2006, Pages 128-135

  Smith, Stephen F ^a   Gallagher, Anthony ^a   Zimmerman, Terry ^a   Barbulescu, Laura ^a   Rubinstein, Zachary ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b University of New Hampshire   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DARPA COORDINATORS; MULTI AGENT MANAGEMENT; MULTIPLE EXECUTING AGENTS; SCHEDULE REVISION;

COMPUTER PROGRAM LISTINGS; LOGIC DESIGN; PROBLEM SOLVING; SCHEDULING; SYSTEM STABILITY;

MULTI AGENT SYSTEMS;

EID: 33747156969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Boddy, M.; Horling, B.; Phelps, J.; Goldman, R.; Vincent, R.; Long, A.; and Kohout, B. 2005. C.taems language specification v. 1.06.
2. Cesta, A., and Oddi, A. 1996. Gaining efficiency and flexibility in the simple temporal problem. In Proc. 3rd Int. Workshop on Temporal Representation and Reasoning.
3. Dechter, R.; Meiri, I.; and Pearl, J. 1991. Temporal constraint networks. Artificial Intelligence 49:61-95.
4. Gallagher, A.; Zimmerman, T.; and Smith, S. 2006 (to appear). Incremental scheduling lo maximize quality in a dynamic environment. In Proc. 2006 International Conf. on Automated Planning and Scheduling.
5. Garvey, A., and Lesser, V. 1995. Design-to-time scheduling and anytime algorithms. In Proc. IJCAI-95 Workshop on Anytime Algorithms and Deliberation Scheduling.
6. Horling, B.; Lesser, V.; Vincent, R.; Wagner, T.; Raja, A.; Zhang, S.; Decker, K.; and Garvey, A. 1999. The taems white paper.
7. Hunsberger, L. 2002. Algorithms for a temporal decoupling problem in multi-agent planning. In Proc. 18th National Conf. on AI (AAAI-02).
8. Lemai, S., and Ingrand, F. 2004, Interleaving temporal planning and execution in robotics domains. In Proc. 19th National Conf. on AI (AAAI-04).
9. Morris, P., and Muscettola, N. 2000. Execution of temporal plans with uncertainty. In Proc. 17th National Conf. on AI.
10. Muscettola, N.; Nayak, P. P.; Pell, B.; and Williams, B. C. 1998. Remote agent: To boldly go where no Al system has gone before. Artificial Intelligence 103(1-2):5-47.
11. Ruml, W., and Fromherx, M. 2004. On-line planning and scheduling in a high-speed manufacturing domain. In Proc ICAPS Workshop on Integrating Planning into Scheduling.
12. Shu, I.; Effinger, R.; and Williams, B. 2005. Enabling fast flexible planning through incremental temporal reasoning with conflict extraction. In Proc. 2005 International Conf. On Automated Planning and Scheduling, 252-261.
13. Smith, S.; Becker, M.; and Kramer, L. 2004. Continuous management of airlift and tanker resources: A constraint-based approach. Mathematical and Computer Modeling 39(6-8):581-598.
14. Smith, S.; Hildum, D.; and Crimm, D. 2005. Comirem: An intelligent form for scheduling. IEEE Intelligent Systems 20(2).
15. Wagner, T., and Lesser, V. 2000. Design-to-critcria scheduling: Real-time agent control. In Proc. AAAI Spring Symposium on Real-Time Autonomous Systems, 89-96.
16. Wehowsky, A. 2003. Safe distributed coordination of heterogeneous robots through dynamic simple temporal networks. Tech. report, Massachusetts Institute of Technology.