1. Laboratory of Intelligent Decision, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 2. Department of Automation, University of Science and Technology of China, Hefei 230027 3. Department of Mathematics, Hefei University of Technology, Hefei 230009
Abstract The Internet has the characteristics of openness, hierarchy, evolution and mass, so it is a typical complex adaptive system. A new complex adaptive search model is proposed based on the theory of complex adaptive system. A multi-agent experiment environment is formed through establishing the main union of information collection, classification, cleaning and services. The learning mechanism and evolutionary mechanism are researched, thus the search engine with the proposed model can actively adapt to the complex and dynamic network environment. Meanwhile, the proposed model can be widely used to construct special search models.
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