What is a DPF?

A DPF, Domain Principle Framework, is an FPF-grounded declarative pattern language for a recurring family of domain difficulties. It turns maintained domain knowledge into reusable patterns that can be selected by their Situation and Question rather than read as a textbook chapter sequence.

A DPF is intended to keep a domain’s state of the art (SoTA) usable. Here, SoTA is not equated with the newest official standard, one institutional consensus, or one fashionable method. It is a current, plural, source-linked account of useful approaches, rival schools, evidence, practitioner experience, known failures, trade-offs, and the conditions under which a particular move is warranted. A DPF must preserve disagreement and source-use limits instead of laundering them into one authoritative-sounding recipe.

DPFs depend on FPF Core for transdisciplinary distinctions and do not silently rewrite it. FPF Core does not depend on any one DPF. More DPFs can be added for other domains while retaining the same shared language for cross-domain human–AI work.