YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience

Author

Zhang, Wen-Ran

Author_Institution

Dept. of Comput. Sci., Georgia Southern Univ., Statesboro, GA, USA

fYear

2009

fDate

14-19 June 2009

Firstpage

3534

Lastpage

3541

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2009. IJCNN 2009. International Joint Conference on

Conference_Location

Atlanta, GA

ISSN

1098-7576

Print_ISBN

978-1-4244-3548-7

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2009.5178584

Filename

5178584