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arXiv · 2007.11743

Adaptable and Verifiable BDI Reasoning

Peter Stringer·Rafael C. Cardoso·Xiaowei Huang·Louise A. Dennis
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Abstract

Long-term autonomy requires autonomous systems to adapt as their capabilities no longer perform as expected. To achieve this, a system must first be capable of detecting such changes. In this position paper, we describe a system architecture for BDI autonomous agents capable of adapting to changes in a dynamic environment and outline the required research. Specifically, we describe an agent-maintained self-model with accompanying theories of durative actions and learning new action descriptions in BDI systems.

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Peter Stringer, Rafael C. Cardoso, Xiaowei Huang, Louise A. Dennis. 2020-07-23. Adaptable and Verifiable BDI Reasoning. https://doi.org/10.4204/eptcs.319.9

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