Towards adjustable autonomy for the real world

Journal of Artificial Intelligence Research

Volumn 17, Issue , 2002, Pages 171-228

  Scerri, Paul ^a   Pynadath, David V ^a   Tambe, Milind ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; DECISION MAKING; ELECTRONIC COMMERCE; MARKOV PROCESSES; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; REAL TIME SYSTEMS; STRATEGIC PLANNING;

ADJUSTABLE AUTONOMY; INTELLIGENT HOMES; OPERATIONALIZATION; OPTIMAL STRATEGY;

ARTIFICIAL INTELLIGENCE;

EID: 2442641587     PISSN: 10769757     EISSN: None     Source Type: Journal    
DOI: 10.1613/jair.1037     Document Type: Article

References (38)

1. Barber, K., Goel, A., & Martin, C. (2000a). Dynamic adaptive autonomy in multi-agent systems. Journal of Experimental and Theoretical Artificial Intelligence, 12(2), 129-148.
2. Barber, K. S., Martin, C., & Mckay, R. (2000b). A communication protocol supporting dynamic autonomy agreements. In Proceedings of PRICAI 2000 Workshop on Teams with Adjustable Autonomy, pp. 1-10, Melbourne, Australia.
3. Bonasso, R., Firby, R., Gat, E., Kortenkamp, D., Miller, D., & Slack, M. (1997). Experiences with an architecture for intelligent reactive agents. Journal of Experimental and Theorectical Artificial Intelligence, 9(1), 237-256.
4. Brann, D., Thurman, D., & Mitchell, C. (1996). Human interaction with lights-out automation: A field study. In Proceedings of the 1996 Symposium on Human Interaction and Complex Systems, pp. 276-283, Dayton, USA.
5. Cesta, A., Collia, M., & D'Aloisi, D. (1998). Tailorable interactive agents for scheduling meetings. In Lecture Notes in AI, Proceedings of AIMSA '98, No. 1480, pp. 153-166, Springer Verlag.
6. Chalupsky, H., Gil, Y., Knoblock, C., Lerman, K., Oh, J., Pynadath, D., Russ, T., & Tambe, M. (2001). Electric Elves: Applying agent technology to support human organizations. In International Conference on Innovative Applications of AI, pp. 51-58.
7. Collins, J., Bilot, C., Gini, M., & Mobasher, B. (2000a). Mixed-initiative decision-support in agent-based automated contracting. In Proceedings of the International Conference on Autonomous Agents (Agents'2000).
8. Collins, J., Bilot, C., Gini, M., & Mobasher, B. (2000b). Mixed-initiative decision support in agent-based automated contracting. In Proceedings of the International Conference on Autonomous Agents (Agents'2000), pp. 247-254.
9. Dorais, G., Bonasso, R., Kortenkamp, D., Pell, B., & Schreckenghost, D. (1998). Adjustable autonomy for human-centered autonomous systems on mars. In Proceedings of the First International Conference of the Mars Society, pp. 397-420.
10. Draper, D., Hanks, S., & Weld, D. (1994). Probabilistic planning with information gathering and contingent execution. In Hammond, K. (Ed.), Proc. Second International Conference on Artificial Intelligence Planning Systems, pp. 31-37, University of Chicago, Illinois. AAAI Press.
11. Ferguson, G., Allen, J., & Miller, B. (1996). TRAINS-95: Towards a mixed-initiative planning assistant. In Proceedings of the Third Conference on Artificial Intelligence Planning Systems, pp. 70-77.
12. Ferguson, G., & Allen, J. (1998). TRIPS: An intelligent integrated problem-solving assistant. In Proceedings of Fifteenth National Conference on Artificial Intelligence(AAAI-98), pp. 567-573, Madison, WI, USA.
13. Fong, T., Thorpe, C., & Baur, C. (2002). Robot as partner: Vehicle teleoperation with collaborative control. In Workshop on Multi-Robot Systems, Naval Research Laboratory, Washington, D.C.
14. Fudenberg, D., & Tirole, J. (1991). Game Theory. The MIT Press, Cambridge, Massachusetts.
15. Goldman, R., Guerlain, S., Miller, C., & Musliner, D. (1997). Integrated task representation for indirect interaction. In Working Notes of the AAAI Spring Symposium on Computational Models for Mixed-Initiative Interaction.
16. Goodrich, M., Olsen, D., Crandall, J., & Palmer, T. (2001). Experiments in adjustable autonomy. In Hexmoor, H., Castelfranchi, C., Falcone, R., & Cox, M. (Eds.), Proceedings of IJCAI Workshop on Autonomy, Delegation and Control: Interacting with Intelligent Agents.
17. Gunderson, J., & Martin, W. (1999). Effects of uncertainty on variable autonomy in maintainance robots. In Agents'99 Workshop on Autonomy Control Software, pp. 26-34.
18. Hexmoor, H. (2000). A cognitive model of situated autonomy. In Proceedings of PRICAI-2000, Workshop on Teams with Adjustable Autonomy, pp. 11-20, Melbourne, Australia.
19. Hexmoor, H., & Kortenkamp, D. (2000). Introduction to autonomy control software. Journal of Experiemental and Theoretical Artificial Intelligence, 12(2), 123-128.
20. Horvitz, E. (1999). Principles of mixed-initiative user interfaces. In Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'99), pp. 159-166, Pittsburgh, PA.
21. Horvitz, E., Jacobs, A., & Hovel, D. (1999). Attention-sensitive alerting. In Proceedings of Conference on Uncertainty and Artificial Intelligence (UAI'99), pp. 305-313, Stockholm, Sweden.
22. Lesser, V., Atighetchi, M., Benyo, B., Horling, B., Raja, A., Vincent, R., Wagner, T., Xuan, P., & Zhang, S. (1999). The UMASS intelligent home project. In Proceedings of the Third Annual Conference on Autonomous Agents, pp. 291-298, Seattle, USA.
23. Mitchell, T., Caruana, R., Freitag, D., McDermott, J., & Zabowski, D. (1994). Experience with a learning personal assistant. Communications of the ACM, 57(7), 81-91.
24. Mulsiner, D., & Pell, B. (1999). Call for papers: AAAI spring symposium on adjustable autonomy, www.aaai.org.
25. Musliner, D., & Krebsbach, K. (1999). Adjustable autonomy in procedural control for refineries. In AAAI Spring Symposium on Agents with Adjustable Autonomy, pp. 81-87, Stanford, California.
26. Peot, M. A., & Smith, D. E. (1992). Conditional nonlinear planning. In Hendler, J. (Ed.), Proc. First International Conference on Artificial Intelligence Planning Systems, pp. 189-197, College Park, Maryland. Morgan Kaufmann.
27. Puterman, M. L. (1994). Markov Decision Processes. John Wiley & Sons.
28. Pynadath, D., Tambe, M., Arens, Y., Chalupsky, H., Gil, Y., Knoblock, C., Lee, H., Lerman, K., Oh, J., Kamachandran, S., Rosenbloom, P., & Russ, T. (2000). Electric-elves: Immersing and agent organization in a human organization. In Proceedings of the AAAI Fall Symposium on Socially Intelligent Agents - The Human in the Loop.
29. Pynadath, D., & Tambe, M. (2001). Revisiting Asimov's first law: A response to the call to arms. In Intelligent Agents VIII Proceedings of the International workshop on Agents, Theories, Architectures and Languages (ATAL'01).
30. Quinlan, J. R. (1993). C4-5: Programs for machine learning. Morgan Kaufmann, San Mateo, CA.
31. Russell, S. J., & Wefald, E. (1989). Principles of metareasoning. In Brachman, R. J., Levesque, H. J., & Reiter, R. (Eds.), KR'89: Principles of Knowledge Representation and Reasoning, pp. 400-411. Morgan Kaufmann, San Mateo, California.
32. Scerri, P., Pynadath, D., & Tambe, M. (2001). Adjustable autonomy in real-world multiagent environments. In Proceedings of the Fifth International Conference on Autonomous Agents (Agents'01), pp. 300-307.
33. Scerri, P., Pynadath, D., & Tambe, M. (2002). Why the elf acted autonomously: Towards a theory of adjustable autonomy. In First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'02).
34. Schreckenghost, D. (1999). Human interaction with control software supporting adjustable autonomy. In Musliner, D., & Pell, B. (Eds.), Agents with Adjustable Autonomy, AAAI 1999 Spring Symposium Series, pp. 116-119.
35. Stankovic, J., Ramamritham, K., & Cheng, S. (1985). Evaluation of a flexible task scheduling algorithm for distributed hard real-time system. IEEE Transactions on Computers, 34 (12), 1130-1143.
36. Tambe, M. (1997). Towards flexible teamwork. Journal of Artificial Intelligence Research (JAIR), 7, 83-124.
37. Tambe, M., Pynadath, D. V., Chauvat, N., Das, A., & Kaminka, G. A. (2000). Adaptive agent integration architectures for heterogeneous team members. In Proceedings of the International Conference on MultiAgent Systems, pp. 301-308.
38. Zilberstein, S. (1996). Using anytime algorithms in intelligent systems. AI Magazine, 17(3), 73-83.