a new book on intelligent systems and information sciences

[Nik Kasabov]

Dear colleagues,
 
The following book has now been published by Springer Verlag (Physica
Verlag):
"Future Directions for Intelligent System and Information Sciences",
N.Kasabov (ed), 2000, Springer Verlag (Physica Verlag). 

The book contains 19 chapters on contemporary topics, that include: adaptive
learning and evolving systems; artificial life; speech and image processing;
virtual reality; intelligent robots; brain-like computing; bio-informatics;
quantum neural networks; intelligent decision making; data mining; granular
computing and computing with words. The chapters are written by
internationally recognised authors.

Content: 
Part I: Adaptive, evolving, learning systems 
N.Kasabov, ECOS- Evolving Connectionist Systems - a new/old paradigm for
on-line learning and knowledge engineering.
S.-B. Cho, Artificial life technology for adaptive information processing.
R.J. Duro, J. Santos, J.A. Becerra: Evolving ANN controllers for smart
mobile robots.
G. Coghill, A simulation environment for the manipulation of naturally
variable objects.
Y.Maeda: Behavior-decision fuzzy algorithm for autonomous mobile robot.
Part II: Intelligent human computer interaction and scientific
visualisation: 
J. Taylor, N. Kasabov: Modelling the emergence of speech and language
through evolving connectionist systems.
H.J.van den Herik, E.O. Postma: Discovering the visual signature of
painters.
A. Nijholt, J. Hulstijn: Multimodal interactions with agents in virtual
worlds.
M. Paulin, R.Berquist: Virtual BioBots.
Part III: New connectionist computational paradigms: Brainlike computing and
quantum neural networks: 
J.G. Taylor, Future directions for neural networks and intelligent systems
from the brain imaging research.
A.A. Ezhov, D. Ventura,Quantum neural networks.
N.G. Stocks, R. Mannella,Suprathreshold stochastic resonance in a neuronal
network model: a possible strategy for sensory coding.
Part IV: Bioinformatics: 
C. Brown, M. Schreiber, B.Chapman, G. Jacobs, Information science and
bioinformatics.
V.B. Bajic, I.V. Bajic, Neural network system for promoter recognition.
Part V: Knowledge representation, knowledge processing, knowledge discovery,
and some applications: 
W. Pedrycz, Granular computing: An introduction.
J. Kacpzryk, A new paradigm shift from computation on numbers to computation
on words on an example of linguistic
database summarization.
N. Kasabov, L. Erzegovesi, M.Fedrizzi, A. Beber, D. Deng: Hybrid intelligent
decision support systems and applications for risk analysis and discovery of
evolving economic clusters in Europe.
Y.Y.Yun: Intelligent resource management through the constrained resource
planning model.
A. Ramer, M. do Carmo Nicoletti, S.Y. Sung: Evaluative studies of fuzzy
knowledge discovery through NF systems. 

Series: Studies in Fuzziness and Soft Computing.VOL. 45

More information about the book can be obtained from the Web site:

http://www.springer.de/cgi-bin/search_book.pl?isbn=3-7908-1276-5

with best regards,

Nik Kasabov

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Prof.Dr. Nikola (Nik) Kasabov
Director Knowledge Engineering Laboratory
Department of Information Science 
University of Otago, P.O.Box 56, Dunedin,New Zealand
phone: +64 3 4798319; fax: +64 3 4798311
email: nkasabov at otago.ac.nz
http://divcom.otago.ac.nz/infosci/Staff/NikolaK.htm 
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