Context-centric proactive information delivery

Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004

Volumn , Issue , 2004, Pages 31-37

  Fan, Xiaocong ^a   Yen, John ^a   Wang, Rui ^a   Sun, Shuang ^a   Volz, Richard A ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE AGENT FOR SIMULATING TEAMWORK (CAST); GOAL MANAGEMENT; INFLORMATION-FLOWTABLE (IFT); SHARED MENTAL MODELS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION MAKING; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; PROBLEM SOLVING; WORLD WIDE WEB;

INFORMATION MANAGEMENT;

EID: 16244393075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J. A. Cannon-Bowers, E. Salas, and S. A. Converse. Shared mental models in expert team decision making. In Individual and group decision making, pages 221-246. 1993.
2. P. R. Cohen and H. J. Levesque. Teamwork. Nous, 25(4):487-512, 1991.
3. E. Davis. Knowledge preconditions for plans. Journal of Logic and Computation, 4(5):721-766, 1994.
4. K. Decker. TAEMS: A Framework for Environment Centered Analysis & Design of Coordination Mechanisms. In Foundations of Distributed Artificial Intelligence, Chapter 16, pages 429-448. G. O'Hare and N. Jennings (eds.), Wiley Inter-Science, January 1996.
5. T. Dickinson and R. Mclntyre. A conceptual framework for teamwork measurement. In M. T. Brannick, E. Salas, and C. Prince, editors, Team performance assessment and measurement: theory, methods and applications, pages 19-44. 1997.
6. F. Giunchiglia. Contextual reasoning. Technical Report 9211-20, IRST, Trento, Italy, 1997.
7. B. Grosz and S. Kraus. Collaborative plans for complex group actions. Artificial Intelligence, 86:269-358, 1996.
8. N. R. Jennings. Controlling cooperative problem solving in industrial multi-agent systems using joint intentions. Artificial Intelligence, 75(2): 195-240, 1995.
9. P. Scerri, D. V. Pynadath, L. Johnson, P. Rosenbloom, N. Schurr, and M. Tambe. A prototype infrastructure for distributed robot-agent-person teams. In AAMAS'03, pages 433-440, July 2003.
10. J. S. Sichman and R. Conte. Multi-agent dependence by dependence graphs. In AAMAS 2002, pages 483-490.
11. K. A. Smith-Jentsch, J. H. Johnson, and S. C. Payne. Measuring team-related expertise in complex environments. In J. A. Cannon-Bowers and E. Salas, editors, Making Decisions Under Stress: Implications for Individual and Team Training, pages 61-87. 2000.
12. J. Yen, X. Fan, S. Sun, R. Wang, C. Chen, K. Kamali, M. S. Miller, and R. A. Volz. Formal semantics and communication strategies for proactive information delivery among team-based agents. In AAMAS'03, pages 1166-1167.
13. J. Yen, J. Yin, T. Ioerger, M. Miller, D. Xu, and R. Volz. Cast: Collaborative agents for simulating teamworks. In Proceedings of IJCAI'2001, pages 1135-1142, 2001.
14. J. Yin, M. S. Miller, T. R. Ioerger, J. Yen, and R. A. Volz. A knowledge-based approach for designing intelligent team training systems. In Proc. of the 4th International Conference on Autonomous Agents, pages 427-434, 2000.