Using Participatory Paradigm to Learn Human Behaviour

P. Taillandier, Thanh-Quang Chu
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引用次数: 3

Abstract

Since the end of the seventies, the utilization of multi-agents simulations has spread out. A typical use of these simulations concerns the modeling of human behavior. In this application case, a key point to ensure the simulation realism is the definition of the agent behavior. Unfortunately, designing such behavior is often complex. In order to help the definition of human behavior, we propose an approach based on the participatory paradigm. In our approach, a human actor directly plays the role of an agent in the simulation. Knowledge about its behavior is extracted from analysis of the logs. In this context, we propose to formalize the human behavior by means of utility functions. An experiment, carried out in the domain of rescue simulation, is presented. This first experiment shows promising results for our approach.
使用参与式范式学习人类行为
自上世纪70年代末以来,多智能体仿真的应用得到了广泛的推广。这些模拟的典型应用涉及人类行为的建模。在这种应用情况下,保证仿真真实感的关键是agent行为的定义。不幸的是,设计这样的行为通常是复杂的。为了帮助定义人类行为,我们提出了一种基于参与式范式的方法。在我们的方法中,人类演员直接在模拟中扮演代理的角色。从对日志的分析中提取有关其行为的知识。在此背景下,我们建议通过效用函数来形式化人类行为。给出了一个在救援模拟领域进行的实验。第一个实验显示了我们的方法有希望的结果。
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