X. Zhao∗ and Y.-J. Son∗
[1] J.M. Haight & V. Kecojevic, Automation vs. human interven-tion – What is the best fit for the optimal system performance?Process Safety Progress, 24 (1), 2005, 45–51. [2] A.S. Rao & M.P. Georgeff, Decision procedures for BDI logics,Journal of Logic and Computation, 8 (3), 1998, 293–343. [3] E. Norling, Folk psychology for human modeling: Extendingthe BDI paradigm, International Conference on AutonomousAgents and Multi-Agent System (AAMAS), New York, 2004. [4] M. Wooldridge, Reasoning about rational agents (London,England: MIT Press, 2000). [5] D. Kinny, M. Georgeff, & A. Rao, A methodology and modelingtechnique for systems of BDI agents, Proc. Seventh EuropeanWorkshop on Modeling Autonomous Agents in a Multi-AgentWorld, MAAMAW’96, by Springer as Lecture Notes in artificialintelligence 1038, 1996. [6] E. Norling, Capturing the quake player: Using a BDI agentto model human behavior, Proc. 2nd Int. Joint Conf. onAutonomous Agents and Multi-agent Systems, 2003, 14–18. [7] A.S. Rao & M.P. Georgeff, BDI agents: From theory topractice, Technical Report 56, Australian Artificial IntelligenceInstitute, Melbourne, Australia, 1995. [8] C.M. Mitchell, GT-MSOCC: A domain for research on human-computer interaction and decision aiding in supervisory sys-tems, IEEE Transaction on Systems, Man, and Cybernetics,17 (4), 1987, 553–572. [9] P.M. Jones & C.M. Mitchell, Model-based communicativeacts: Human-computer collaboration in supervisory control,International Journal of Human-Computer Studies, 41 (4),1994, 527–551. [10] J.C. Ammons, T. Govindaraj, & C.M. Mitchell, Decision mod-els for aiding FMS scheduling and Control, IEEE Transactionon Systems, Man, and Cybernetics, 18 (5), 1998, 744–756. [11] R. Fikes & N. Nilsson, STRIPS: New approach to the applica-tion of theorem proving, Artificial Intelligence, 2 (3–4), 1971,189–208. [12] J.-J. Meyer, Reasoning about emotional agents, Proc. 16th Eur.Conf. on Artificial Intelligence (ECAI 2004), 2004, 129–133. [13] J. Venkateswaran & Y. Son, Design and development of a pro-totype distributed simulation for evaluation of supply chains,International Journal of Industrial Engineering, 11 (2), 2004,151–160.
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