Abstract:With the development of bet365 sports technology，Research on bet365 sports has experienced a major shift from being based on bet365 sports sources to being based on signals，Then to the bet365 sports understanding process based on bet365 sports。Three basic types of bet365 sports understanding lay the foundation for the paradigm shift in bet365 sports understanding，Think of the three types of bet365 sports understanding as three "bridge piers"，You can build a "bridge" leading to a better understanding of the bet365 sports，Beyond the current common understanding of bet365 sports encoding。In the unfolding of big data and artificial intelligence，The receptive relationship of bet365 sports is becoming increasingly clear: bet365 sports is neither matter nor energy，It is a perceptual relationship based on physical energy，The mature form is the perceptual relationship process between the bet365 sports sink and the bet365 sports source。As a product of the interaction between the machine bet365 sports sink and the bet365 sports source，Big data and artificial intelligence and their development enable bet365 sports to continuously unfold，Thus involving not only a basic paradigm shift at the integration level of philosophy and science，And its basic characteristics can be systematically derived。The basic characteristics of bet365 sports mainly include the creative nature of bet365 sports、Emergency、Mutuality and Sharing。As basic bet365 sports fact，Understanding the relationship between the basic characteristics of bet365 sports and the perceptibility of bet365 sports constitutes a two-way interpretation，Not only demonstrates perceptual practice at the bet365 sports level，And it is expected to be the solution to the mystery of consciousness and the general development of artificial intelligence，Provides a theoretical and practical integration basis of bet365 sports level for human beings to understand themselves more thoroughly。

　　Keywords:Message Receptive relationship Basic characteristics of bet365 sports Big data Artificial Intelligence

　　AuthorWang Tianen，Professor, Department of Philosophy, Shanghai University (Shanghai 200444)。