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An approach to over-constrained distributed constraint satisfaction problems: distributed hierarchical constraint satisfaction

机译:过度约束的分布式约束满足问题的一种方法:分布式分层约束满足

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Many problems in multi-agent systems can be described as distributed CSPs. However some real-life problems can be over-constrained and without a set of consistent variable values when described as a distributed CSP. We have presented the distributed partial CSP for handling such an over-constrained situation and the distributed maximal CSP as a subclass of distributed partial CSP. We first show another subclass of distributed partial CSP, the distributed hierarchical CSP. Next, we present a series of new algorithms for solving a distributed hierarchical CSP, each of which is designed based on our previous distributed constraint satisfaction algorithms. Finally we evaluate the performance of our new algorithms on distributed 3-coloring problems in terms of optimality and anytime characteristics. The results show that our new algorithms perform much better than the previous algorithm for finding an optimal solution and produce good results for anytime characteristics.
机译:多代理系统中的许多问题都可以描述为分布式CSP。但是,当描述为分布式CSP时,某些现实生活中的问题可能会受到过度约束,并且没有一组一致的变量值。我们已经提出了用于处理这种过度约束情况的分布式部分CSP,而分布式最大CSP作为分布式部分CSP的子类提出了。我们首先显示分布式部分CSP的另一个子类,即分布式分层CSP。接下来,我们提出了一系列用于解决分布式层次化CSP的新算法,每个算法都是基于我们以前的分布式约束满足算法而设计的。最后,我们从最优性和随时性的角度评估了新算法在分布式三色问题上的性能。结果表明,我们的新算法在寻找最佳解决方案方面比以前的算法性能要好得多,并且可以针对任何时间特征产生良好的结果。

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