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Integrating Learning into a BDI Agent for Environments with Changing Dynamics

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2525-2529.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-420

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.

Dhirendra Singh, Sebastian Sardina, Lin Padgham, and Geoff James. 2011. Integrating Learning into a BDI Agent for Environments with Changing Dynamics. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2525–2529. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-420
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