Basic Concepts and Anatomy of Swarm Intelligence and Its Roles in Today and Future Network Centric Environments.

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Title:	Basic Concepts and Anatomy of Swarm Intelligence and Its Roles in Today and Future Network Centric Environments.
Authors:	Lalbakhsh, Pooia¹ pooia_acm@yahoo.com, Fesharaki, Mehdi N.² mehfesharaki@yahoo.com
Source:	International MultiConference of Engineers & Computer Scientists 2008. 2008, p78-83. 6p.
Subjects:	Swarm intelligence, Netcentric computing, Intelligent agents, Telecommunication, Self-organizing systems, Robust control
Abstract:	In this paper we illustrate total structure of swarm systems and their impacts on net-centric computing environments. The paper presents a comprehensive look on swarm applications and its potential to solve complex problems in related areas. The effects of emergent externalities of swarm behavior through its basic elements such as groups/clusters, individuals/agents and inner/outer communications are also studied to explain the role of swarming in improving the performance of net-centric systems. Self-organization, robustness, flexibility and handling unpredicted situations are introduced as results of such collective and cooperating strategies. The paper also takes a look at the role of existing technologies and related challenges towards implementing real swarm systems. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

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Abstract:	In this paper we illustrate total structure of swarm systems and their impacts on net-centric computing environments. The paper presents a comprehensive look on swarm applications and its potential to solve complex problems in related areas. The effects of emergent externalities of swarm behavior through its basic elements such as groups/clusters, individuals/agents and inner/outer communications are also studied to explain the role of swarming in improving the performance of net-centric systems. Self-organization, robustness, flexibility and handling unpredicted situations are introduced as results of such collective and cooperating strategies. The paper also takes a look at the role of existing technologies and related challenges towards implementing real swarm systems. [ABSTRACT FROM AUTHOR]