One of the fundamental frameworks views behavioral (or cognitive) 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 treated mechanisms in a static manner. Networks, which have the ability to show sophisticated relationships, provide an ideal means of satisfactorily characterizing behavior using nonlinear dynamics.
In order to understand this directed behavior as an organism-environment system rather than as simply an organism, Park explored the biological autonomy and control of function according to the surrounding circumstances and the purported relationship to the environmental cycle.
In a similar vein, as part of the Ecology and Evolution Program, he is addressing issues related to the identification of dynamic systems using an ecological perspective, that is, functional non-linearity. In particular, he will suggest how determining the basic principles of a collective structure could be the key to understanding complex processes that occur as part of real-time phenomena. A primary model will be derived to assess the advantages of this perspective using a basic methodology. This connection between perspective and technique will demonstrate certain aspects in an actual context while also explicitly including the framework of actual dynamic system identification.
Funding: IIASA - NRF Korea Postdoctoral Fellowship
Program: Evolution and Ecology Program
Dates: March 2017 - February 2019
Last edited: 16 July 2019
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Postdoctoral research at IIASA
International Institute for Applied Systems Analysis (IIASA)
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