Call for Papers WCCI-IJCNN2016 Special Session on "Mind, Brain, and Cognitive Algorithms"

Organizers: Leonid Perlovsky (Harvard University and Northeastern University, MA; lperl@rcn.com), José F. Fontanari, Asim Roy, Angelo Cangelosi, Daniel Levine.
Recent progress opens new directions for modeling the mind and brain and developing cognitive algorithms for engineering applications. Cognitive algorithms solve traditional engineering problems much better than before, and new areas of engineering are opened modeling human abilities in cognition, emotion, language, art, music, cultures. Cognitive dissonances and behavioral economics is another new active area of research. A wealth of data are available about the ways humans perform various cognitive tasks (e.g., the knowledge instinct, scene and object recognition, language acquisition, interaction of cognition and language, aesthetic emotions, music cognition, cognitive dissonance) as well as about the biases involved in human judgment and decision making (e.g., the prospect theory and the fuzzy-trace theory). A wealth of data on the web can be exploited for extracting cognitive data. Explaining these laws and biases using realistic neural networks architectures, including neural modeling fields, as well as more traditional learning algorithms requires a multidisciplinary effort.

The aim of this special session is to provide a forum for the presentation of the latest data, results, and future research directions on the mathematical modeling of higher cognitive functions using neural networks, neural modeling fields, as well as cognitive algorithms exploiting web data and solving traditional and new emerging engineering problems, including genetic association studies, medical applications, Deep Learning, and Big Data.

The special session invites submissions in any of the following areas:

• Neural network models of higher cognitive function
• Neural mechanisms of emotions, cognition
• Embodied cognition modeling
• Neural modeling fields (NMF) 
• Perceptual processing
• Language learning 
• Cognitive and emotional processing
• Cognitive models of decision-making
• Models of emotional mechanisms
• Models of cognitive dissonances
• Cognitive, language, and emotional models of cultures
• Cognitive functions of art, music, and spiritual emotions.
• Emotions in cognition (affective cognition)
• Aesthetic emotions
• Cognitive dissonance, neural models
• Cognition and cultures
• Medical applications 
• Genome association studies
• Big Data

Keywords:

Cognition, Emotions, Decision-Making, Dynamic Logic, Language Acquisition, Language Emotionality, Cognitive Dissonance, Music Cognition, Models of Cultures, Neural Modeling Fields, ART Neural Network, Fuzzy-Trace Theory, Prospect Theory, Deep Learning, Genome Associations, Big Data   

Program Committee:

M. Cabanac (Canada)
A. Cangelosi (UK)
J. F. Fontanari (Brazil)
Y. R. Fu (USA)
R. Illin (USA)
B. Kovalerchuk  (USA)
R. Kozma (USA)
D. Levine (USA)
D. Marocco  (UK)
A. Minai (USA)
L. I. Perlovsky (USA)
S. Petrov (USA)
A. Roy (USA)
F. Schoeller (France)
J. Weng (USA)