·
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
computing |
·
Neuroscience foundations of
information
processing |
|
·
Cognitive processes of the brain |
·
Reasoning and inferences |
·
Cognitive models of the brain |
|
·
Internal information processing
mechanisms |
·
Cognitive informatics
foundations of AC |
·
Functional modes of the brain |
|
·
Theories of natural intelligence |
·
Memory models
|
· Neural models of memory
|
|
·
Intelligent foundations of
computing
|
· Informatics foundations of
software engineering
|
·
Neural networks |
|
·
Descriptive
mathematics for NI |
·
Fuzzy logic |
·
Neural computation |
|
·
Abstraction and means
|
·
Knowledge engineering |
·
Cognitive linguistics |
|
·
Ergonomics |
·
Pattern recognition |
·
Neuropsychology |
|
·
Informatics laws of software |
·
Agent technologies |
·
Bioinformatics |
|
·
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
|
|
·
Emotions/motivations/attitudes |
·
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 |