Integrating Learning into a BDI Agent for Environments with Changing Dynamics
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2525-2529.
Abstract
We propose a framework that adds learning for improving plan selection in the popular BDI agent programming paradigm. In contrast with previous proposals, the approach given here is able to scale up well with the complexity of the agent's plan library. Technically, we develop a novel confidence measure which allows the agent to adjust its reliance on the learning dynamically, facilitating in principle infinitely many (re)learning phases. We demonstrate the benefits of the approach in an example controller for energy management.
@inproceedings{ijcai2011p420,
title = {Integrating Learning into a BDI Agent for Environments with Changing Dynamics},
author = {Singh, Dhirendra and Sardina, Sebastian and Padgham, Lin and James, Geoff},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2525--2529},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-420},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-420},
}
TY - CPAPER TI - Integrating Learning into a BDI Agent for Environments with Changing Dynamics AU - Singh, Dhirendra AU - Sardina, Sebastian AU - Padgham, Lin AU - James, Geoff T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2525 EP - 2529 DO - 10.5591/978-1-57735-516-8/IJCAI11-420 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-420 ER -Copied
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