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基于蚁群的计算。

Ant-based computing.

作者信息

Michael Loizos

机构信息

School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.

出版信息

Artif Life. 2009 Summer;15(3):337-49. doi: 10.1162/artl.2009.Michael.008.

Abstract

A biologically and physically plausible model for ants and pheromones is proposed. It is argued that the mechanisms described in this model are sufficiently powerful to reproduce the necessary components of universal computation. The claim is supported by illustrating the feasibility of designing arbitrary logic circuits, showing that the interactions of ants and pheromones lead to the expected behavior, and presenting computer simulation results to verify the circuits' working. The conclusions of this study can be taken as evidence that coherent deterministic and centralized computation can emerge from the collective behavior of simple distributed Markovian processes such as those followed by biological ants, but also, more generally, by artificial agents with limited computational and communication abilities.

摘要

提出了一个关于蚂蚁和信息素的生物学和物理学上合理的模型。有人认为,该模型中描述的机制足够强大,能够重现通用计算的必要组件。通过说明设计任意逻辑电路的可行性、表明蚂蚁与信息素的相互作用会导致预期行为以及展示计算机模拟结果以验证电路的工作情况来支持这一说法。本研究的结论可作为证据,表明连贯的确定性和集中式计算可以从简单分布式马尔可夫过程的集体行为中出现,比如生物蚂蚁所遵循的过程,但更普遍地说,也可以从具有有限计算和通信能力的人工主体中出现。

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