How does human symbolize the world? I introduce "Double Articulation multi-Dimensional Symbolization that are clustered and reduced into Stories as the world model" (DAmDiSS). Humans get a lot of "sensor data" via their sensory organs. The "raw" data are clustered in an unsupervised manner. And then, I assume double articulation structures in all modal data. The "meaning" is a concept which is consist of several modal clustered "raw" data. I also introduce time-series "meanings" as "Story". A "big Story" is consist of several "Stories". Humans can make a desirable "big Story" by selecting various kinds of "Stories" in their memories and can modify the "big Story" after acquiring new "raw" data. This process is just the "Bayesian inference algorithm" itself. The consciousness is a "Bayesian inference algorithm" which enables us to form and modify the optimal plan by considering year-order future value.