Study On Artificial Life Model And Artificial Intelligence Model In Small Ecosystem

Computer artificial intelligence research is the current hot spots, known as the 20th century one of the major scientific and technological achievement, and in the new century the era of network it will play an important role in the economy. As an important branch of computer science, artificial intelligence will penetrate into the application of computer technology industries, resulting in these businesses, and even computer software industry itself changes. But artificial intelligence is still at an early stage. This article holds that only life can have a senior intelligence, and life can't produce senior intelligence if it is seperated from the environment. A isolated life can only have a limited low-smart. Therefore it is necessary to simulate a small ecological environment to study artificial intelligence. This paper studies the self-organizing phenomenon of complexity system, and using the law of this to evolve a relatively stable ecosystem, in this ecosystem, each individual and the environment in which life is relatively stable, and therefore the large number of incidents which each individual observed will have certain repetitive and regularity, and this will provid a safeguard for study. Then this paper brings forward an algorithm which makes individual lives can learn certain temporal causal logic. And using general principles of problem solving, this paper gives the algorithm for actions selection of the individual, and carries out a simple simulation of intelligent animals.By the experimental analysis, we can see that the self-organizing ecological system presented by this paper is relatively stable, only need a small-scale biological population to continue. That will make the computer simulation convenient. At the same time simulation experiments in this paper, a simple simulation of a dog's intelligence, which proved this model is effective.