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Reimplementing a Multi-Agent System in Python

机译:在Python中重新实现多智能体系

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We provide a brief description of our Python-DTU system, including the overall design, the tools and the algorithms that we used in the Multi-Agent Programming Contest 2012, where the scenario was called Agents on Mars like in 2011. Our solution is an improvement of our Python-DTU system from last year. Our team ended in second place after winning at least one match against every opponent and we only lost to the winner of the tournament. We briefly describe our experiments with the Moise organizational model. Finally we propose a few areas of improvement, both with regards to our system and to the contest.
机译:我们提供了对我们的Python-DTU系统的简要说明,包括我们在2012年多智能专员编程竞赛中使用的整体设计,工具和算法,其中场景在2011年的火星上被称为代理。我们的解决方案是从去年改进了我们的Python-DTU系统。我们的团队在赢得每次对手的至少一场比赛之后,我们的团队于第二名结束,我们只输给了比赛的胜利者。我们简要用Moise组织模型简要描述了我们的实验。最后,我们提出了一些关于我们的系统和比赛的一些改进领域。

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