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ABCDE: Agent based chaotic dynamic emergence

机译:ABCDE:基于Agent的混沌动态出现

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This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price sequences in a simple model of interacting consumers and vendors, both equipped with minimal rules. "Swarm" is the framework of the model (www. santafe. edu/projects/swarm), a simulation tool with a strong object oriented structure, also very useful to separate in a clear way the model level from the level of the observer. Swarm if fully programmable in Objective C, with many powerful libraries, aimed at modeling the objects and the schedules of our experiments, with lists and arrays where necessary. Finally we introduce a tool (Cross Target method:CT), useful in building artificial laboratories, for experiments with learning, self-developed consistency and interaction of agents in artificial worlds, in order to observe the emergence of complexity without a priori behavioral rules: The perspective of our work is that of developing CT within the Swarm framework to replicate the ABCDE experiment in this light-rules or no-rules context.
机译:本文涉及在协商和交换模拟领域中基于代理的实验。建立了一个计算机仿真环境,以简单的交互消费者和供应商的模型显示混乱的价格序列的出现,两者都配备了最少的规则。 “群体”是模型的框架(www。santafe。edu / projects / swarm),这是一种具有强大的面向对象结构的仿真工具,对于以清晰的方式将模型级别与观察者级别分开也非常有用。如果可以在Objective C中完全编程,请使用大量强大的库进行编译,目的是为对象和实验时间表建模,并在必要时使用列表和数组。最后,我们引入了一个工具(跨目标方法:CT),该工具可用于构建人工实验室,用于在人工世界中进行学习,自我发展的一致性和代理相互作用的实验,以观察没有先验行为规则的复杂性的出现:我们的工作观点是在Swarm框架内开发CT,以在这种轻规则或无规则的情况下复制ABCDE实验。

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