Abstract: Uncertainty principle of quantum mechanics is the basic law of nature. Uncertainty is considered as the root of parallelism and intelligence of natural computation by analyzing the relationship between parallelism and uncertainty.According to this understanding the uncertainty principle of algorithm was proposed, and the uncertainty intelligence model (UIM) of natural computation was established. Shannon entropy principle was used in this model. UIM indicates that prior knowledge and uncertainty information constitute the basic intelligent system. Intelligent system is essentially an information system. The information provided by prior knowledge assurances the algorithm in the correct direction of search, and the information provided by uncertainty realizes the parallel search in solution space. So we can conclude that improving the entropy will achieve the high level intelligence. UIM is also verified by Monte-Carlo algorithm of Pi in this paper.

Key words: Uncertainty, Natural computation, Parallel, Intelligence, Entropy, Uncertainty intelligence model