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Behavior modeling through CHAOS for simulation of dismountedsoldier operations

机译：通过CHAOS进行行为建模，以模拟拆卸的士兵的行动

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摘要

One of the major challenges in human behavior modeling for military applications is dealing with all factors that can influence behavior and performance. In a military context, behavior and performance are influenced by the task at hand, the internal (cognitive and physiological) and external (climate, terrain, threat, equipment, etc.) state. Modeling the behavioral effects of all these factors in a centralized manner would lead to a complex rule-base that is difficult to maintain or expand. To better cope with this complexity we have developed the Capability-based Human-performance Architecture for Operational Simulation (CHAOS). CHAOS is a multi-agent system for human behavior modeling that is based on pandemonium theory. Every agent in CHAOS represents a specific part of behavior, such as 'reaction to threat' or 'performing a patrol task'. These agents are competing over a limited set of resources that represent human capabilities. By combining the element of competition with multiple limited resources, CHAOS allows us to model stress, strain and multi-tasking in an intuitive manner. The CHAOS architecture is currently used in firefighter and dismounted soldier simulations and has shown itself to be suitable for human behavior and performance modeling.
机译：军事应用人类行为建模的主要挑战之一是应对可能影响行为和性能的所有因素。在军事环境中，行为和性能受手头任务，内部（认知和生理）状态和外部（气候，地形，威胁，设备等）状态的影响。以集中方式对所有这些因素的行为影响进行建模将导致难以维护或扩展的复杂规则库。为了更好地应对这种复杂性，我们开发了基于功能的操作仿真人员绩效架构（CHAOS）。 CHAOS是基于pandemonium理论的用于人类行为建模的多主体系统。 CHAOS中的每个代理都代表行为的特定部分，例如“对威胁的反应”或“执行巡逻任务”。这些代理人在代表人类能力的有限资源上竞争。通过将竞争要素与有限的多种资源相结合，CHAOS使我们能够以直观的方式对压力，压力和多任务进行建模。 CHAOS体系结构目前用于消防员和下岗士兵模拟中，并已证明其适合于人类行为和性能建模。

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