Life cycle: semantic matrix of process modeling

Acceleration of socio-technological changes increases demands and complexity of process modeling tasks. Developing the appropriate thinking skills is becoming a mass necessity. This paper describes a method for representation of processes, allowing systematization of such skill based on life cycle . Any process is then represented as a sequence of stages: perception, analysis, design, action, coordination, and evaluation. This sequence is formalized as a circular trajectory on a phase space, the Cartesian axes of which are the activity and potency factors of classical semantics. As a result, the scheme receives a simple mathematical expression and is interfaced with standard methods of semantic measurements. The experimentally presented structure was revealed in the word2vec English language vector model, which additionally aligns it with machine learning and artificial intelligence algorithms. The developed model is considered as general ontology of processes in Nature, used in natural thinking as a stereotype of building cause-and-effect models of events. The result obtained opens up opportunities for the development of methods of process and causal-sense modeling for scientific, technical and everyday purposes.