可切换合规与冒险行为模式的智能体仿真架构
Architecture for Simulating Behavior Mode Changes in Norm-Aware Autonomous Agents
- 基于AOPL规范语言构建可配置行为模式的智能体架构
- 支持人类控制器动态切换代理从守规到冒险的行为模式
- 适合政策制定者模拟智能体行为以优化规范设计
本文提出一种用于模拟规范意识智能体行为的架构，该智能体的行为模式（如规范遵守程度）可由人类控制器设定并后续更改。例如在时间敏感的救援任务中，将智能体从守规模式切换至更高风险模式可能更为合适。系统基于Gelfond与Lobo提出的授权与义务规范语言AOPL进行设计，构建了可模拟不同行为模式下智能体计划的原型软件系统。该系统帮助政策制定者理解智能体在特定规范态度下的潜在行为表现，若仿真显示不良后果，可据此调整政策，提升规范有效性。
原文摘要 · Abstract (English)
This paper presents an architecture for simulating the actions of a norm-aware intelligent agent whose behavior with respect to norm compliance is set, and can later be changed, by a human controller. Updating an agent's behavior mode from a norm-abiding to a riskier one may be relevant when the agent is involved in time-sensitive rescue operations, for example. We base our work on the Authorization and Obligation Policy Language AOPL designed by Gelfond and Lobo for the specification of norms. We introduce an architecture and a prototype software system that can be used to simulate an agent's plans under different behavior modes that can later be changed by the controller. We envision such software to be useful to policy makers, as they can more readily understand how agents may act in certain situations based on the agents' attitudes towards norm-compliance. Policy makers may then refine their policies if simulations show unwanted consequences.
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