The [[Permanent/PKM/Tools/Object-Process Network|Object Process Network]] (OPN) is a computational framework developed by [[Hsueh-Yung Benjamin Koo]], [[Dov Dori]], and [[Ed Crawley]]. It was first proposed in the late 1990s as a way to model and analyze the behavior of complex systems. The OPN framework combines concepts from [[Hub/Tech/OPM|Object Process Methodology]], a graphical notation originally developed by [[Dov Dori]]. Then, it incorporates process algebra, and [[Category theory|category theory]] to represent systems as a collection of interacting objects and processes. Objects represent the entities within a system, while processes represent the actions or behaviors of these entities. In OPN, objects communicate with each other by sending messages through channels. Channels can be thought of as communication pathways that connect objects together. The messages exchanged between objects can contain information or trigger certain actions. OPN also incorporates the concept of state representation in Petri Net, which is used to specify the behavior of objects. The stateful information in OPN provides a visual representation of how an object's behavior changes in response to different events or conditions. One key feature of OPN is its ability to model concurrency and parallelism in complex systems. By representing systems as networks of interacting objects and processes, OPN allows for the analysis and simulation of how different components interact with each other simultaneously. The OPN framework has been applied to various domains, including software engineering, manufacturing systems, telecommunications, and transportation systems. It has proven useful for understanding system behavior, identifying bottlenecks or performance issues, and guiding system design decisions. It was later formalized in to [[Algebra of Systems]] ([[Algebra of Systems|AoS]]). Overall, the Object Process Network provides a powerful framework for modeling and analyzing complex systems by combining ideas from object-oriented programming, process algebra, and network theory. Its emphasis on concurrency and parallelism makes it particularly suitable for modeling real-world systems with multiple interacting components. # References ```dataview Table title as Title, authors as Authors where contains(subject, "OPN") or contains(subject, "AoS") or contains(subject, "Algebra of Systems") ```