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- W4386989766 abstract "This paper proposes a framework for representing and reasoning about the plan selection process of an autonomous agent that is expected to operate within the boundaries of a given policy. We assume that the agent takes into consideration both policy compliance and plan length, and may prioritize one of these aspects over the other, based on circumstances. We consider authorization and obligation policies specified in the language $$mathcal{AOPL}$$ by Gelfond and Lobo. Our framework builds upon the AAA agent architecture and is implemented in ASP." @default.
- W4386989766 created "2023-09-24" @default.
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- W4386989766 date "2023-01-01" @default.
- W4386989766 modified "2023-10-18" @default.
- W4386989766 title "Plan Selection Framework for Policy-Aware Autonomous Agents" @default.
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- W4386989766 doi "https://doi.org/10.1007/978-3-031-43619-2_43" @default.
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