The idea behind Graph-talk is that the simplest and most pleasant way to solve information processing tasks is to represent them in a human-friendly format.
Very frequently, information structure is represented as a graph – a set of vertexes connected by arcs. Vertexes usually denote the notions or states of the system and arcs represent relations between them or conditions for state transitions.
Such a form makes complex things easier to understand than a text description (a picture is worth a thousand words) although the graph representation is often less compact compared to a text one. Aside from the benefits of intuition, the graph model has other advantages and therefore was selected to represent the structure of information or its processing in Graph-talk.
The GraphThe graph consists of Notions connected via Relations.
Notions could be simple (like a leaf in tree structures) or complex (consisting of one or more other notions). The most useful s...