Titlebook: Biologically Inspired Cooperative Computing; IFIP 19th World Comp Yi Pan,Franz J. Rammig,Mauricio Solar Conference proceedings 2006 IFIP In

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書(shū)目名稱Biologically Inspired Cooperative Computing影響因子(影響力)




書(shū)目名稱Biologically Inspired Cooperative Computing影響因子(影響力)學(xué)科排名




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書(shū)目名稱Biologically Inspired Cooperative Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Biologically Inspired Cooperative Computing被引頻次




書(shū)目名稱Biologically Inspired Cooperative Computing被引頻次學(xué)科排名




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書(shū)目名稱Biologically Inspired Cooperative Computing年度引用學(xué)科排名




書(shū)目名稱Biologically Inspired Cooperative Computing讀者反饋




書(shū)目名稱Biologically Inspired Cooperative Computing讀者反饋學(xué)科排名

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On Building Maps of Web Pages with a Cellular Automatone main principles of methods that build such maps, and the main principles of cellular automata. We show how these principles can be applied to the problem of web pages clustering: the cells, which are organized in a 2D grid, can be either empty or may contain a page. The local transition function o

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Completing and Adapting Models of Biological Processes mechanically transforming system requirements via provably equivalent models to running code, and 2) automata learning-based model extrapolation. The intended impact of this new combination is to make model completion and adaptation accessible to experts of the field, like biologists or engineers.

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The Utility of Pollination for Autonomic Computinging and novel, biological paradigm for future dependable and self-managing computing systems. This estimation is based on the characteristics the pollination process between plants and insects implies inherently..To utilize pollination as a paradigm for self-managing and thus autonomic computing sys

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Ant Based Heuristic for OS Service Distribution on Ad Hoc Networkspired by the foraging behavior of ants and are used within our NanoOS, an OS for distributed applications. The NanoOS offers an uniform environment of execution and the code of the OS is distributed among nodes..We propose a basic and an extended swarm optimization based heuristic to control the ser

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A Biologically Motivated Computational Architecture Inspired in the Human Immunological System to Qulogical System, such as detection and elimination of antigens in the human body. This model is based on the hypothesis of an intruder which is a strange element in the system, whereby can exist mechanisms able to detect their presence. We will use recognizer agents of intruders (.) for such goal and