基于梯度的预期适应自组织模式

Sara Montagna, Danilo Pianini, Mirko Viroli
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引用次数: 14

摘要

本文提出了一种新的自组织机制,以增强具有预期适应能力的梯度自组织模式。我们确保在移动环境中检索感兴趣目标的问题是通过主动响应有关未来事件的本地可用信息来解决的,即,关于未来障碍的知识(例如,交通控制场景中预期的拥堵或道路中断)用于以紧急方式计算替代和更快的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gradient-Based Self-Organisation Patterns of Anticipative Adaptation
In this paper we conceive new self-organisation mechanisms to enhance the Gradient self-organisation pattern with anticipative adaptation abilities. We ensure that the problem of retrieving a target of interest in mobile environments is solved by proactively reacting to locally-available information about future events, namely, the knowledge about future obstacles (e.g., expected jams or road interruption in a traffic control scenario) is used to compute alternative and faster paths in an emergent way.
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