On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract)

A. Gerevini, N. Lipovetzky, Francesco Percassi, A. Saetti, I. Serina
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Abstract

The aim of decentralised multi-agent (DMA) planning is to coordinate a set of agents to jointly achieve a goal while preserving their privacy. Blind search algorithms, such as width-based search, have recently proved to be very effective in the context of centralised automated planning, especially when combined with goal-oriented techniques. In this paper, we discuss a recent line of research in which the usage of width-based search has been extensively studied in the context of DMA planning, addressing the challenges related to the agents' privacy and performance.
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基于宽度的搜索在多智能体隐私保护规划中的应用(扩展摘要)
分散式多智能体(decentralized multi-agent, DMA)规划的目的是协调一组智能体共同实现一个目标,同时保护它们的隐私。盲搜索算法,如基于宽度的搜索,最近被证明在集中自动化规划的背景下非常有效,特别是当与面向目标的技术相结合时。在本文中,我们讨论了最近的一系列研究,其中基于宽度的搜索的使用在DMA规划的背景下得到了广泛的研究,解决了与代理隐私和性能相关的挑战。
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