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Modeling the behavior of a hierarchy of command agents with context-based reasoning

机译:使用基于上下文的推理对命令代理层次结构的行为进行建模

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Context-based reasoning is a paradigm for modeling agent behavior that is based on the idea that humans only use a small portion of their knowledge at any given time. It was specially designed to represent human tactical behavior and has been successfully implemented in systems with single agents or two agents working together. In this paper, we apply this idea in a hierarchical multi-agent system of command agents, where the agents’ actions are to command and coordinate subordinates, send reports to their superiors, and communicate with other agents at the same level. We focus on how contexts and actions can be defined for these higher level command agents and how the contexts and actions for the different command agents are related. The proposed methodology is implemented and tested for a hierarchy of command agents that are interpreting and planning an operational order at a battalion level and carrying it out in a computer generated forces environment.
机译:基于上下文的推理是一种用于对代理行为进行建模的范式,其基础是人类在任何给定时间仅使用其一小部分知识。它是为代表人类的战术行为而专门设计的,并已成功地在具有单个代理或两个代理协同工作的系统中实现。在本文中,我们将这种思想应用于命令代理的分层多代理系统中,该代理的动作是命令和协调下属,向其上级发送报告以及与同一级别的其他代理进行通信。我们关注于如何为这些高级命令代理定义上下文和动作,以及如何将不同命令代理的上下文和动作关联起来。所提议的方法论是针对在各个营级解释和计划作战命令并在计算机生成的部队环境中执行的指挥官层次结构进行实施和测试的。

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