2011 Poster Sessions : Cognitive Control: New Paradigm of System Control based on Memory and Experience

Student Name : Dookun Park
Advisor : Benard Widrow
Research Areas: Information Systems
We might not realize it but surprisingly many parts of our behaviors depend on our memory. The fact that we do not care much about detail motions of our daily behaviors such as brushing teeth, sitting and walking can support this idea. Looking around our life and nature, even though not everything is routine, we can see that a large portion of our nature, of course including ourselves, seems to be operated using a stored knowledge not generated in real-time using some formulas or theories. Narrowing down our focus to system control problems and observing locomotion ability of human and animal, we can also find the idea/hypothesis is reasonable. Animal would not use mathematics to control its body and this is also true for human. Definitely, there might be certain knowledge about system control without which we cannot explain animal/human's great locomotion ability. We start with a hypothesis that the core of the control knowledge is 'memory and experience.' It is assumed that control knowledge is stored in control memory and the memory keeps being updated and revised by our daily experience. Since daily experimental knowledge is directly stored in the memory, no mathematical theory or formulation is required to establish control ability. Moreover, since the daily experience reflects the system's changing system configuration, e.g. animal's growing body, the control ability embedded in the memory consequently shows adaptive ability to the changing system configuration. This new control methodology called 'Cognitive Control' and we believe the new methodology can be useful for applications of linear/nonlinear adaptive control for complex systems. In this research, we will cover the following topics: (1) New perspective about System Control, (2) Concepts of the Cognitive Control, (3) A suggested Control Memory structure, (4) Memory update algorithms(Learning algorithms), (5) Features of Cognitive Control, and (6) Example applications of the Cognitive Control.

Dookun Park is a doctoral student of Dr. Bernard Widrow of the Department of Electrical Engineering at Stanford University. His research focuses on development of system control methodology using 'memory'. He earned BS and MS degrees in Electrical Engineering from Seoul National University in 2007 and Stanford University in 2009 respectively. He was a recipient of the Kwanjeong Educational Foundation Scholarship for his master program and is a recipient of the Samsung Scholarship for his doctoral study.