Evolutionary understanding of the conditions leading to estimation of behavioral properties through system dynamics

Chulwook Park

doi:10.1186/s40294-019-0066-x

Abstract

One of the basic approaches in science views behavioral products as a process within a dynamic system. The mechanism might be seen as a representation of many instances of centralized control in real time. Many real systems, however, exhibit autonomy by denying statically treated mechanisms. This study addresses the issues related to the identification of dynamic systems and suggests how determining the basic principles of a collective structure may be the key to understanding complex behavioral processes. A fundamental model is derived to assess the advantages of this perspective using a basic methodology. The connection between perspective and technique demonstrates certain aspects within their actual context while also clearly including the framework of actual dynamic system identification.

Highlights

System dynamics can be used as a tool to address many applications in a very broad sense
Let us specify how these notions may be understood in the light of an account of a dynamic system
The prediction is not that the individual runs to a precomputed landing spot and waits for the object but that he modifies his actions to keep the image of the object moving at a constant velocity

Summary

Introduction

System dynamics can be used as a tool to address many applications in a very broad sense. It applies to systems in many different disciplines, such as control, communication, tropisms, and even systems of systems (Mandl 2019). Given the very widespread use of the term “system,” the important questions are as follows: What does the term “system” mean? A well-formulated notion of a system could, be developed using a nonsystem definition. Given how vague word definitions can be, the notions that we use describe a wide variety of things (Marchal 1975). Let us specify how these notions may be understood in the light of an account of a dynamic system

Methods

Discussion

Conclusion