A Parallel System Strategy of Evaluation and Forecasting for Security Information with Artificial Society
Analysis, evaluation and forecast for the collection, memory and management of information play an important role in the research and engineering application of intelligence and security informatics. Theoretically speaking, the developed science and technology have already well-founded for decision and strategy of ISI. For example, all the production, consumption, distributing and reserves of the energy of the country or worldwide could be searched, tracked and resisted dynamic in virtue of the information analysis, such as petroleum, forest and coal and so on. Whereas, greats of impacts still remain extremely difficult among key issues in ISI research. Such as the incapability of repeated or re-constructed of the situation, or the impossibility of reducing and simplifying the experiments to acquire the necessary data and so on, all these factors awfully obstacle the new advanced process of ISI research. Specially, the project attempts to build a parallel system support for ISI decision analysis and support based on a newly developed computational theory with the artificial societies and computational experiments.
KeywordsComputational Experiment Security Information Artificial System Parallel System Information Analysis