Samarai Thoughts

Thoughts are graph language expressions that are loaded into a runtime environment (Samarai brain). A thought can be anything that can be expressed using the language: Maybe a simple information like a message or a single address, maybe a complex analysis of an event involving hundreds of people and entities or maybe an agent that is performing an assigned task.

Samarai thoughts are obviously named after human thoughts. Like human thoughts, Samarai thoughts can be anything. "Internally" humans have no restriction as of what information is part of thoughts. We can take seemingly unrelated details from different memories and create a new thought of them; and maybe gain new insights.

Samarai thoughts are similar. We can query different information repositories (Samarai calls them internally "memories") and retrieve many small or large bits of information. These bits merge automatically if the sources are universal data (as in the case of Havel) and become the base for a new thought. The thought is parsed and maybe interpreted before it is presented to the user, executed or processed, depending on the task.

Technically, whenever raw information has been loaded from sources it is parsed and eventually interpreted into a though. The though is the language's representation of the raw source data. In case of Havel, this is another graph-like structure called "the web" that contains all the information needed to interpret, analyze, visualize and edit the information.

This post is part of a comprehensive introduction into SRDM, graph languages and Havel.

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Continue reading: Samarai Brains