Prognostic normative reasoning in coalition planning

Authors:
Jean Oh;Felipe Meneguzzi;Katia Sycara;Timothy J. Norman
Affiliations:
Carnegie Mellon University, Pittsburgh;Carnegie Mellon University, Pittsburgh;Carnegie Mellon University, Pittsburgh;University of Aberdeen, Aberdeen, UK
Venue:
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Year:
2011

Citing 2
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Abstract

Human users planning for multiple objectives in coalition environments are subjected to high levels of cognitive workload, which can severely impair the quality of the plans created. The cognitive workload is significantly increased when a user must not only cope with a complex environment, but also with a set of unaccustomed rules that prescribe how the coalition planning process must be carried out. In this context, we develop a prognostic assistant agent that takes a proactive stance in assisting cognitively overloaded human users by providing timely support for normative reasoning-reasoning about prohibitions and obligations.