Towards Planning Uncertain Commitment Protocols. Meneguzzi, F., Telang, P., & Yorke-Smith, N. In Proceedings of the Thirteenth International Conference on Autonomous Agents and Multiagent Systems, pages 1681–1682, 2015. Paper abstract bibtex In the context of a business process modeled by commitments, agents enact a protocol by carrying out goals that service their part of commitments. In a competitive or even in a cooperative setting, an agent does not know for sure that its partners will successfully act on their part of the commitments. We introduce uncertainty into a successful recent approach of planning first-order commitment protocols. Probabilities reflect a semantics of the belief of an agent about the successful completion of tasks by other agents within the protocol, capturing notions of trust. We take a deterministic Hierarchical Task Network (HTN) planner, introduce probabilities into the task networks, and derive a protocol enactment which maximizes expected utility from the point of view of one agent. We illustrate our approach on a business scenario in e-commerce.
@INPROCEEDINGS{Meneguzzi2015,
author = {Felipe Meneguzzi and Pankaj Telang and Neil Yorke-Smith},
title = {Towards Planning Uncertain Commitment Protocols},
booktitle = {Proceedings of the Thirteenth International Conference on Autonomous
Agents and Multiagent Systems},
year = {2015},
pages = {1681--1682},
abstract = {In the context of a business process modeled by commitments, agents enact a protocol by carrying out goals that service their part of commitments.
In a competitive or even in a cooperative setting, an agent does not know for sure that its partners will successfully act on their part of the commitments.
We introduce uncertainty into a successful recent approach of planning first-order commitment protocols.
Probabilities reflect a semantics of the belief of an agent about the successful completion of tasks by other agents within the protocol, capturing notions of trust.
We take a deterministic Hierarchical Task Network (HTN) planner, introduce probabilities into the task networks, and derive a protocol enactment which maximizes expected utility from the point of view of one agent. We illustrate our approach on a business scenario in e-commerce.},
file = {:http\://www.meneguzzi.eu/felipe/pubs/aamas-commitments-probabilities-2015.pdf:PDF},
url = {http://www.meneguzzi.eu/felipe/pubs/aamas-commitments-probabilities-2015.pdf},
owner = {meneguzzi},
timestamp = {2015.05.29}
}
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