The International Journal of Cognitive Informatics & Natural Intelligence (IJCINI)  

 Scope   Editorial Board  Call for Papers  Guidelines for Authors  Publisher IGI  Table of Contents   IEEE-ICCI   Int. Center for CI 




   What is Cognitive Informatics (CI)?


Definition: Cognitive Informatics (CI) is the transdisciplinary study into the internal information processing mechanisms and processes of the Natural Intelligence (NI) human brains and minds and their engineering applications in computing, ICT, and healthcare  industries.  


CI is a cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computation, software engineering, AI, cybernetics, cognitive science, neuropsychology, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. The development and the cross fertilization between the aforementioned science and engineering disciplines  have led to a whole range of extremely interesting new research areas known as CI and NI. Almost all of the hard problems yet to be solved in those disciplines are stemmed from the fundamental constraints of the brain and the understanding of its cognitive mechanisms and  processes.              



   Scope of IJCiNi


 IJCiNi publishes regular papers, technical correspondences, case studies, letters to the

 editor, book reviews, conference reports, and special issues.


Original papers are invited from multidisciplinary perspectives on subject areas including,

but not limited to, the following:



  Natural Intelligence (NI)

 Autonomic Computing (AC)

 Neuroinformatics (NeI)

  Informatics models of the brain

Imperative vs. autonomous


Neuroscience foundations of

       information processing 

Cognitive processes of the brain

Reasoning and inferences

Cognitive models of the brain

Internal information processing


Cognitive informatics

       foundations of AC

Functional modes of the brain

Theories of natural intelligence

Memory models  

 Neural models of memory

Intelligent foundations of


 Informatics foundations of
       software engineering

Neural networks

Descriptive mathematics for NI

Fuzzy logic

Neural computation

Abstraction and means

Knowledge engineering

Cognitive linguistics


Pattern recognition


Informatics laws of software

Agent technologies


Knowledge representation

Artificial intelligence

Biosignal processing

Models of knowledge and skills

Software agent systems

Cognitive signal processing

Language acquisition

Decision theories

Gene analysis

Cognitive complexity of software

Problem solving

Gene expression

Distributed intelligence

Machine learning

Neural signal interpretation

Computational intelligence

Intelligent Internet

Visual information representation   


Web contents cognition

Visual information interpretation  

Perception and consciousness

Nature of software

Sensational cognitive processes

Hybrid (AI/NI) intelligence

Quantum computing

Human factors in systems