Modeling Events as Machines

TL;DR

This paper introduces a new diagrammatic methodology for modeling events as dynamic components within systems, emphasizing their interaction with time, space, and objects, with broad interdisciplinary applications.

Contribution

It presents a novel diagrammatic approach to conceptualize events as machines, advancing understanding of their interactions with fundamental concepts like time and space.

Findings

Developed a new diagrammatic modeling technique for events.

Applied the model to abstract machines with dynamic phases.

Potential interdisciplinary applications in various fields.

Abstract

The notion of events has occupied a central role in modeling and has an influence in computer science and philosophy. Recent developments in diagrammatic modeling have made it possible to examine conceptual representation of events. This paper explores some aspects of the notion of events that are produced by applying a new diagrammatic methodology with a focus on the interaction of events with such concepts as time and space, objects. The proposed description applies to abstract machines where events form the dynamic phases of a system. The results of this nontechnical research can be utilized in many fields where the notion of an event is typically used in interdisciplinary application.