This paper introduces the APIA architecture for policy-aware intentional agents. These agents, acting in changing environments, are driven by intentions and yet abide by domain-relevant policies. This work leverages the AIA architecture for intention-driven intelligent agents by Blount, Gelfond, and Balduccini. It expands AIA with notions of policy compliance for authorization and obligation policies specified in the language AOPL by Gelfond and Lobo. APIA introduces various agent behavior modes, corresponding to different levels of adherence to policies. APIA reasoning tasks are reduced to computing answer sets using the Clingo solver and its Python API.

中文翻译：

---

APIA：策略感知意向代理架构

本文介绍了策略感知意向代理的 APIA 架构。这些代理在不断变化的环境中行动，受意图驱动，但遵守与领域相关的政策。这项工作利用 Blount、Gelfond 和 Balduccini 的意图驱动智能代理的 AIA 架构。它通过 Gelfond 和 Lobo 以 AOPL 语言指定的授权和义务政策的政策合规性概念扩展了 AIA。APIA 引入了多种代理行为模式，对应不同的策略遵守程度。APIA 推理任务被简化为使用 Clingo 求解器及其 Python API 计算答案集。