论文标题
目标操作的合理选择以及搜索策略与目标驱动的自主权的整合
The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy
论文作者
论文摘要
智能物理系统作为体现的认知系统必须执行高级推理，同时管理基础控制体系结构。认知与控制之间的联系必须管理将连续价值从现实世界转换为符号表示的问题（又一次）。为了产生有效的行为，推理必须包括重新掌握，获取和更新新信息，检测和响应异常的能力，并对系统目标执行各种操作。但是，这些过程并非独立，需要进一步探索。本文研究了代理商的选择时，当多个目标操作共同发生并进行交互时，它建立了一种在它们之间进行选择的方法。我们证明了好处，并讨论了与此相关的交易，并在动态的海洋搜索任务中显示了积极的结果。
Intelligent physical systems as embodied cognitive systems must perform high-level reasoning while concurrently managing an underlying control architecture. The link between cognition and control must manage the problem of converting continuous values from the real world to symbolic representations (and back). To generate effective behaviors, reasoning must include a capacity to replan, acquire and update new information, detect and respond to anomalies, and perform various operations on system goals. But, these processes are not independent and need further exploration. This paper examines an agent's choices when multiple goal operations co-occur and interact, and it establishes a method of choosing between them. We demonstrate the benefits and discuss the trade offs involved with this and show positive results in a dynamic marine search task.
