Organic Computing
Organic Computing
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有机计算
DOI：
10.1007/978-3-540-77657-4
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
A. Agarwal
中科院分区：
文献类型：
--
作者：
A. Agarwal
有机计算（Organic Computing）是一个新兴的研究领域，它相信计算机科学、电信、神经生物学、分子生物学、动物行为学甚至社会学中的复杂系统中的组织问题可以以统一的方式科学地解决。从计算机科学的角度来看，生命系统解决计算困难问题的明显容易性使得不可避免地采用自然界观察到的策略来创建信息处理机器。在这本书中，有机计算背后的主要思想被描绘出来，连同在这个新领域进行的计算项目的稀疏样本。生物学隐喻包括进化、神经网络、基因调控网络、大脑模块网络、激素系统、昆虫群和蚁群。应用程序多种多样，如系统设计，优化，人工增长，任务分配，聚类，路由，人脸识别和手语理解。
Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.