TY - GEN
T1 - Prognostic agent assistance for norm-compliant coalition planning
AU - Oh, Jean
AU - Meneguzzi, Felipe
AU - Sycara, Katia
AU - Norman, Timothy J
N1 - Acknowledgments
This research was sponsored by the U.S. Army Research Laboratory and the
U.K. Ministry of Defence and was accomplished under Agreement Number W911NF-
09-2-0053. The views and conclusions contained in this document are those of
the author(s) and should not be interpreted as representing the official policies,
either expressed or implied, of the U.S. Army Research Laboratory, the U.S.
Government, the U.K. Ministry of Defence or the U.K. Government. The U.S.
and U.K. Governments are authorized to reproduce and distribute reprints for
Government purposes notwithstanding any copyright notation hereon
PY - 2011/1
Y1 - 2011/1
N2 - In this paper we describe a software assistant agent that can proactively assist human users situated in a time-constrained environ-ment. We specifically aim at assisting the user's normative reasoning– reasoning about prohibitions and obligations–so that the user can focus on her planning objectives. In order to provide proactive assistance, the agent must be able to 1) recognize the user's planned activities, 2) reason about potential needs of assistance associated with those predicted ac-tivities, and 3) plan to provide appropriate assistance suitable for newly identified user needs. To address these specific requirements, we develop an agent architecture that integrates user intention recognition, norma-tive reasoning over a user's intention, and planning, execution and re-planning for assistive actions. This paper presents the agent architecture and discusses practical applications of this approach.
AB - In this paper we describe a software assistant agent that can proactively assist human users situated in a time-constrained environ-ment. We specifically aim at assisting the user's normative reasoning– reasoning about prohibitions and obligations–so that the user can focus on her planning objectives. In order to provide proactive assistance, the agent must be able to 1) recognize the user's planned activities, 2) reason about potential needs of assistance associated with those predicted ac-tivities, and 3) plan to provide appropriate assistance suitable for newly identified user needs. To address these specific requirements, we develop an agent architecture that integrates user intention recognition, norma-tive reasoning over a user's intention, and planning, execution and re-planning for assistive actions. This paper presents the agent architecture and discusses practical applications of this approach.
UR - http://www.meneguzzi.eu/felipe/pubs/itmas-2011.pdf
M3 - Published conference contribution
BT - Second International Workshop on Infrastructures and Tools for Multiagent Systems
ER -