towards a new diagrammatic model for the abstraction and representation of relational knowledge
How can we apply distributed network theory to knowledge representation? In this paper, we advance a new hypothesis regarding the role of the network topology in information science. In particular, we argue for the need (and significant advantage) of thinking in terms of a parasitic or “counter-network” topology.
While networks are certainly good at representing many things, we need to recognize the significant limitations of this image of knowledge. What does this mean? That the network structure itself must be deformalized, made “molecular” and placed in constant pragmatic variation. The network topology is the most questionable “paradigm” today — despite, or in a sense, because — it has rendered the old hierarchical models obsolete. We find evidence of an uncannily deterministic (and even political) character of the network topology in terms of the protocol or prescriptive communicative rules ‘in force’ throughout the network space. But what if we were to consider a system where all the rules are optional?