Petri Nets are efficient and well-formalized tools for modeling the dynamic systems. With some reasonable constraints, they can be readily applied to knowledge representation and engineering, and thus assist in collaborative research. This chapter proposes a way to do this based on the unified grammar of dynamic knowledge. Petri Nets appear interpretable in terms of the said grammar and may be considerably enhanced by the introduction of semantic rules for formulation of expressions in their places. In such form, they are quite apt to be used as a knowledge representation and visualization method in computer-based tools for support of collaborative research, and their quantification potential (i.e., marking of the net and attributing weights to its arcs) may appear very useful for this task, which is usually accomplished by purely qualitative tools.

Two alternative methods of knowledge representation, Petri net and event bush, have been applied to represent the same environments of alternative directed changes. The chapter examines the interrelation between the two methods and considers the ways of their mutual optimization and co-application. It discusses the balance between conceptual thoroughness and formal transparency from one side and readability, representation power, and common-sense clarity from the other. The interrelation and interplay of these two methods may bring fruitful revelations about how to treat dynamic knowledge, what strategy to choose to represent scenarios depending on the task in mind. This is seen as an important contribution to a new field of research, representation of dynamic knowledge, which may have wide application in a variety of fields, from history to technical design.