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Agent-Based Reallocation Problem on Social Networks

机译:社交网络上基于代理的重新分配问题

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Resource reallocation problems aim to determine an allocation maximizing a given objective function. Numerous applications are based on the assumption of restricted contacts between entities but, up to now, studies have been based on unrealistic contexts. Indeed, most of the time, agents are omniscient and/or have complete communication abilities, which are not plausible assumptions in many applications. A solution does not only consist in an optimal allocation, but in a sequence of transactions changing an initial allocation into an optimal solution. We show that the individual rationality does not allow the achievement of socially optimal allocations, and we propose a more suitable criterion: the sociability. Our method provides a sequence of transactions leading to an optimal allocation, with any restriction on agents' communication abilities. Provided solutions can be viewed as emergent phenomena.
机译:资源重新分配问题旨在确定使给定目标函数最大化的分配。许多应用都是基于实体之间联系受限的假设,但是到目前为止,研究都是基于不现实的环境。确实,在大多数情况下,代理是无所不知的和/或具有完整的沟通能力,这在许多应用中不是合理的假设。解决方案不仅包括最佳分配,而且还包括将初始分配更改为最佳解决方案的一系列事务。我们证明了个人理性不允许实现社会最优分配,并且我们提出了一个更合适的标准:社会性。我们的方法提供了导致最佳分配的一系列交易,而对座席的沟通能力没有任何限制。提供的解决方案可以看作是突发现象。

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