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TOC Alert: IJCINI 2(4)-Int. J. Cognitive Informatics and Natural Intelligence
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The contents of the latest issue of
International Journal of Cognitive Informatics
and Natural Intelligence (IJCINI)
Official Publication of the Information Resources Management Association
Volume 2, Issue 4, October-December 2008
Published: Quarterly in Print and Electronically
ISSN: 1557-3958 EISSN: 1557-3966
Published by IGI Publishing, Hershey-New York, USA
www.igi-global.com/ijcini
Editor-in-Chief: Yingxu Wang, University of Calgary, Canada
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PAPER ONE:
Modeling Underwater Structures
Michael Jenkin, York University, Canada
Andrew Hogue, York University, Canada
Andrew German, York University, Canada
Sunbir Gill, York University, Canada
Anna Topol, York University, Canada
Stephanie Wilson, York University, Canada
This article investigates techniques and
technologies to address the problem of the
acquisition and representation of complex
environments such as those found underwater. In
order to address the complexities of the
underwater environment, the article develops a
stereo vision-inertial sensing device that has
been successfully deployed to reconstruct complex
3-D structures in both the aquatic and
terrestrial domains. The sensor combines 3-D
information, obtained using stereo vision, with
3DOF inertial data to construct 3-D models of the
environment. Also, semiautomatic tools have been
developed to aid in the conversion of these
representations into semantically relevant
primitives suitable for later processing.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8421
PAPER TWO:
Formal RTPA Models for a Set of Meta-Cognitive Processes of the Brain
Yingxu Wang, University of Calgary, Canada
This article explores the cognitive processes
modeled at the metacognitive level of the layered
reference mode of the brain (LRMB) such as object
identification, abstraction, concept
establishment, search, categorization,
comparison, memorization, qualification,
quantification, and selection. Further, each set
of fundamental cognitive processes is formally
described by a real-time process algebra (RTPA) model.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8422
PAPER THREE:
Foundations of Nonconventional Neural Units and their Classification
Ivo Bukovsky, Czech Technical University in Prague, Czech Republic
Zeng-Guang Hou, Chinese Academy of Sciences, China
Jiri Bil,aCzech Technical University in Prague, Czech Republic
Madan M. Gupta, University of Saskatchewan, Canada
This article introduces basic types of
nonconventional neural units and focuses on their
notation and classification. Namely, the notation
and classification of higher order nonlinear
neural units, time-delay dynamic neural units,
and time-delay higher order nonlinear neural
units are introduced. Also, the classification of
nonconventional neural units is founded first
according to the nonlinearity of the aggregating
function; second, according to the dynamic order;
and third, according to time-delay implementation within neural units.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8423
PAPER FOUR:
Robust Independent Component Analysis for Cognitive Informatics
N. Gadhok, University of Manitoba, Canada
W. Kinsner, University of Manitoba, Canada
This article evaluates the outlier sensitivity of
five independent component analysis (ICA)
algorithms (FastICA, Extended Infomax, JADE,
Radical, and -divergence) using (a) the Amari
separation performance index, (b) the optimum
angle of rotation error, and (c) the contrast
function difference in an outlier-contaminated mixture simulation.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8424
PAPER FIVE:
Human Discovery and Machine Learning
Christopher Dartnell, University of Montpellier II and LIRMM, France
Éric Martin, University of New South Wales, Australia
Hélène Hagège, Université Montpellier II and LIRMM, France
Jean Sallantin, Université Montpellier II and LIRMM, France
This article studies machine learning paradigms
from the point of view of human cognition.
Indeed, conceptions in both machine learning and
human learning evolved from a passive to an
active conception of learning. Also, the article
identifies the limitations of common machine
learning paradigms in the context of scientific
discovery and proposes an extension inspired by
game theory and multiagent systems. Finally, it
presents individual cognitive aspects of this
protocol, as well as social considerations, and
relates encouraging results concerning a game implementing it.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8425
PAPER SIX:
On Cognitive Properties of Human Factors and
Error Models in Engineering and Socialization
Yingxu Wang, University of Calgary, Canada
This article explores the cognitive foundations
of human traits and cognitive properties of human
factors in engineering. First, a comprehensive
set of fundamental traits of human beings are
identified, and the hierarchical model of basic
human needs is formally described. Second, the
characteristics of human factors and their
influences in engineering organizations and
socialization are explored. In conclusion, a
formal model of human errors in task performance
is derived, and case studies of the error model
in software engineering are presented.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8426
PAPER SEVEN:
A Computational Cognitive Model of the Brain
Zhiwei Shi, Chinese Academy of Science and
Graduate University of Chinese Academy of Sciences, China
Hong Hu, Chinese Academy of Science, China
Zhongzhi Shi, Chinese Academy of Science, China
This article presents the globally connected and
locally autonomic Bayesian network (GCLABN),
which is designed to model visual perception, to
attain a computational cognitive mode, connected
component network for the brain (CCNB), which
from a macroscopic viewpoint provides a highly
plausible hypothesis on how the brain functions as a whole.
To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?ID=8427
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For full copies of the above articles, check for
this issue of the International Journal of
Cognitive Informatics and Natural Intelligence
(IJCINI) in your institution's library. This
journal is also included in the IGI Global
aggregated "InfoSci-Journals" database:
www.infosci-journals.com. If your library is not
currently subscribed to IJCINI, recommend IJCINI
subscription
http://www.igi-global.com/journals/details.asp?ID=5383&mode=recommend
to your library or "InfoSci-Journals" to your librarian.
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CALL FOR PAPERS
Mission of IJCINI:
Cognitive informatics (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. 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.
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. The International Journal of
Cognitive Informatics and Natural Intelligence
(IJCINI) encourages submissions that transcend
disciplinary boundaries, and is devoted to rapid
publication of high quality papers. The themes of
IJCINI are natural intelligence, autonomic
computing, and neuroinformatics. IJCINI is
expected to provide the first forum and platform
in the world for researchers, practitioners, and
graduate students to investigate cognitive
mechanisms and processes of human information
processing, and to stimulate the
transdisciplinary effort on cognitive
informatics, natural intelligent research, and engineering applications.
Coverage 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:
Abstraction and means
Agent technologies
Artificial intelligence
Bioinformatics
Biosignal processing
Cognitive complexity of software
Cognitive informatics foundations of AC
Cognitive linguistics
Cognitive models of the brain
Cognitive processes of the brain
Cognitive signal processing
Computational intelligence
Decision theories
Descriptive mathematics for NI
Distributed intelligence
Emotions/motivations/attitudes
Ergonomics
Functional modes of the brain
Fuzzy logic
Gene analysis
Gene expression
Human factors in systems
Hybrid (AI/NI) intelligence
Imperative vs. autonomous computing
Informatics foundations of software engineering
Informatics laws of software
Informatics models of the brain
Intelligent foundations of computing
Intelligent Internet
Internal information processing mechanisms
Knowledge engineering
Knowledge representation
Language acquisition
Machine learning
Memory models
Models of knowledge and skills
Nature of software
Neural computation
Neural models of memory
Neural networks
Neural signal interpretation
Neuropsychology
Neuroscience foundations of information processing
Pattern recognition
Perception and consciousness
Problem solving
Quantum computing
Reasoning and inferences
Sensational cognitive processes
Software agent systems
Theories of natural intelligence
Visual information interpretation
Visual information representation
Web contents cognition
Interested authors should consult the journal's
manuscript submission guidelines at
<http://www.igi-global.com/ijcini>www.igi-global.com/ijcini
All inquiries and submissions should be sent to:
Editor-in-Chief: Yingxu Wang at yingxu@ucalgary.ca