Title :
YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience
Author_Institution :
Dept. of Comput. Sci., Georgia Southern Univ., Statesboro, GA, USA
Abstract :
It is argued that without mental equilibrium mental disorder would be ldquobig bangrdquo from nowhere. Based on this argument, YinYang bipolar dynamic logic (BDL) and bipolar dynamic fuzzy logic (BDFL) are introduced; a theory of equilibrium-based computational neuroscience is presented with a 3-tier architecture. Agents, adaptivity, bipolar mental equilibrium, and bipolar disorders are mathematically characterized with bipolar relativity. It is shown that BDL and BDFL enable the unification of neural biological networks with bio-electromagnetic or quantum fields, equilibrium-based logical computation with ldquoillogicalrdquo bipolar mental disorders, and hypothesis driven exploratory knowledge discovery with brain, behavior, and agents.
Keywords :
data mining; neurophysiology; 3-tier architecture; adaptivity; agents; bio-electromagnetic; bipolar disorders; bipolar dynamic fuzzy logic; bipolar dynamic logic; bipolar mental equilibrium; bipolar relativity; computational neuroscience; knowledge discovery; neural biological networks; Bioinformatics; Biological neural networks; Biology computing; Computer applications; Computer networks; Fuzzy logic; Mental disorders; Neuroscience; Physics; Quantum computing;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178584
