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In Figure 1, Information is clearly regarded as a type of reversible data compression that is organized by the computer's algorithms for the purpose of providing information for persons or perhaps other algorithms. It is interesting to note that data is derived from computers and distributed in a Peer-2-Peer layer. In this sense, the structure of the information is relevant to both the Peer-2-Peer layer and the CPU layer. So this architecture has merit.

However, algorithmic context is NOT sufficient to model any type of situational context as part of the natural world. It simply cannot reliably manufacture decision support processes and knowledge sharing experiences. The fundamental problem is that humans have "complex interiors", and that one must make a category distinction between CPU's doing algorithms and humans existing and thinking in a world that is perhaps more complex than algorithms lead us to imagine.