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In the immune responses against the SARS (Severe Acute Respiratory Syndromes), human immune systems are complex intelligent systems, which show good properties such as the self-organizing and adaptivity. Modeling the immune systems has important significance in both immunology and artificial immune system. In order to improve the visualization and readability of the anti-SARS immune system model,...
We conduct an evolutionary simulation to explore the coevolution of language and a language-related ability, intentionality sharing. Our simulation shows that during the evolution of a simple informative language, communicative success helps optimize the level of intentionality sharing in the population. This study illustrates a selective role of language communications on language-related abilities,...
Inspired form natural immune system, a new artificial immune system was proposed to detect, recognize and eliminate the non-selfs such as computer worms and software faults. Because unknown non-selfs are very difficult to detect only by recognizing the features of the non-selfs, a normal model was built to provide an easy and effective tool for completely detecting the unknown non-selfs by detecting...
Biological immune system is typical distributed parallel system for processing biological information to defense the body against viruses and diseases. Inspired from nature, a distributed artificial immune system with the normal model is proposed for detecting unknown non-selfs such as worms and software faults. Traditional approaches are used to learn unknown features and types of the unknown non-selfs,...
In this paper, a frame of natural computation has been proposed in order to deal with the challenge from new computing branches such as DNA computation and quantum computation to traditional computing theory, and computation is considered as the inherent mechanism of the nature and the foundation of intelligence. Simulating computation has been created and improved via inspiration of natural computation,...
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