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The automated wingman - Using JACK intelligent agents for unmanned autonomous vehicles

机译:自动机翼手-将JACK智能代理用于无人驾驶自动驾驶汽车

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The Belief, Desires, and Intention (BDI) agent model is used in operations analysis and computer generated forces. It has been shown that the BDI approach to agent programming brings the particular advantage of using terms and concepts that are familiar to all. At present the challenge is to bring this a step forward with appropriate tools and a control environment that enable pilots to operate an uninhabited airborne vehicle (UAV) during mission by means of tactical directives. The BDI model provides a suitable framework for capturing tactical behaviours in the air operation domain. The representation of these behaviours in terms of BDI plans is readily understandable by domain experts. However the current development process requires an experienced BDI developer to work with a domain expert in order to develop an appropriate set of agent behaviours. We would like to remove the BDI developer from the loop - this paper represents a first step in the achievement of that objective. The idea is that for controlling a UAV as an 'autonomous wingman', the pilot instructs the UAV by forming and commanding tactical plans at a suitable level of abstraction. The autonomous wingman would process these plans in the context of common-sense background behaviour. Technically this control environment is a simplified programming environment, where the pilot is presented with a collection of programming 'primitives' of high-level tactical behaviours and world-events based on the platform's sensor system. By combining primitives into plans, the pilot can build up a sensible instruction sequence for the UAV to accomplish particular tasks in ways appropriate for the situation at hand during mission.
机译:信念,愿望和意图(BDI)代理模型用于操作分析和计算机生成的力量。已经表明,BDI代理程序方法带来了使用所有人都熟悉的术语和概念的特殊优势。目前的挑战是,借助适当的工具和控制环境,使这一步骤向前迈进,使飞行员能够在战术执行过程中使用无人驾驶飞行器(UAV)进行操作。 BDI模型为捕获空中作战领域的战术行为提供了合适的框架。根据BDI计划,这些行为的表示很容易为领域专家所理解。但是,当前的开发过程要求经验丰富的BDI开发人员与领域专家合作,以开发适当的代理行为集。我们想从循环中删除BDI开发人员-本文是实现该目标的第一步。这个想法是为了将无人机控制为“自主的机翼兵”,飞行员通过在适当的抽象水平上制定和指挥战术计划来指示无人机。自治的边锋将在常识性背景行为的背景下处理这些计划。从技术上讲,此控制环境是简化的编程环境,在该环境中,向飞行员展示了基于平台传感器系统的高级战术行为和世界级事件的编程“原语”集合。通过将原语整合到计划中,飞行员可以为无人机建立合理的指令序列,以适合于任务期间手头情况的方式完成特定任务。

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