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'https://openalex.org/W2980927473', 'https://openalex.org/W1187273826', 'https://openalex.org/W1044525855', 'https://openalex.org/W1026209308'], 'abstract_inverted_index': {'经由联盟形成的任务分配是在多代理人系统(妈)': [0], '的几应用程序域的基本研究挑战,例如资源分配,灾难反应管理等等。怎么以一种分布式的方式分配许多未解决的任务到一些代理人,主要处理。在这篇论文,我们在自我组织、自我学习的代理人之中建议一个分布式的平行多工分配算法。处理状况,我们在二维的房间地理上驱散代理人和任务,然后介绍为寻找它的任务由的一个单个代理人的分享学习的利润(PSL': [1], ')': [2], '不断自我学习。我们也在代理人之中为通讯和协商介绍策略分配真实工作量到每个': [3], 'tasked': [4, 10], '代理人。最后,评估建议算法的有效性,我们把它与': [5], 'Shehory': [6], '和': [7], 'Krau': [8], '被许多研究人员在最近的年里讨论的分布式的任务分配算法作比较。试验性的结果证明建议算法罐头快速为每项任务形成一个解决的联盟。而且,建议算法罐头明确地告诉我们每个': [9], '代理人的真实工作量,并且能因此为实际控制任务提供一本特定、重要的参考书。': [11]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3148487811', 'counts_by_year': [{'year': 2021, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 1}, {'year': 2013, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-09-19T03:13:11.809376', 'created_date': '2021-04-13'}