Title :
The knowledge instinct of autonomous adaptation
Author :
Perlovsky, Leonid I. ; Ilin, Roman
Author_Institution :
Harvard Univ., Cambridge, MA, USA
Abstract :
The knowledge instinct (KI) drives autonomous adaptation including the higher cognitive abilities. Neural modeling fields mathematically models KI using dynamic logic (DL), a process “from vague-fuzzy to crisp.” The paper discusses why this paradigm is necessary mathematically, and relates it to a psychological description of the mind. Recent fMRI measurements confirmed this process in neural mechanisms of perception.
Keywords :
cognition; formal logic; neural nets; psychology; autonomous adaptation; cognitive abilities; dynamic logic; fMRI measurements; knowledge instinct; mind; neural mechanisms; neural modeling fields; perception; psychological description; Adaptation model; Atmospheric modeling; Biological system modeling; Clutter; Computational modeling; Psychology;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596715
