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CALL FOR PAPERS
XVII Brazilian Symposium
on Artificial Intelligence
September 29 - October 1, 2004
São Luís, Maranhão - Brazil
http://www.sbc.org.br/sbia
http://www.inf.ufrgs.br/sbia
The Symposium
SBIA, the Brazilian Symposium on Artificial Intelligence, is a biannual
event intended to be the main forum of the AI community in Brazil. However
since the 1990's it has also attracted researchers from all over the
world, when it started to have an international program committee
and also keynote invited speakers.
The SBIA 2004 is the
17th event of the series. Since 1995, SBIA has been accepting papers
written and presented only in English, with proceedings being published
in the Lecture Notes in Artificial Intelligence series of Springer-Verlag
(SBIA'95:991, SBIA'96:1159, SBIA'98:1515,
SBIA'00:1952, SBIA'02:2507).
The SBIA 2004 is sponsored
by the Brazilian Computer Society (SBC). It will be held in São
Luis, the capital of the state of Maranhão in the northeast
of Brazil, together with the Brazilian Symposium on Neural Networks,
and with the IEEE NNSP 2004.
This way, we expected
you and both the AI and ANN communities to join us and make this event
a very exciting one. Last but not least, besides the dense scientific
programme we are preparing (technical papers, tutorials, invited talks,
and student sections), there are still the cultural highlights of
São Luis, as well as the natural beauties of one of the most
wonderful places in Brazil: beaches, sun, and pristine water.
Hope to meet you there!
Topics of Interest
The topics to be covered include, but are not limited to:
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AI
Development, Tools and Methodologies
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AI
Foundations (philosophy, epistemology, economics, etc.)
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Artificial
Life
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Autonomous
Agents and Multi-Agent Systems
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Computer
Vision and Pattern Recognition
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Evolutionary
Computation
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Hybrid
systems (fuzzy, evolutionary, neural, symbolic, etc.)
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Knowledge
Acquisition
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Knowledge
Discovery and Data Mining
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Knowledge
Engineering
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Knowledge
Representation and Reasoning
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Machine
Learning
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Natural
Language Processing
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Planning
and Scheduling
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Robotics
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Theoretical
and Logical Methods
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Uncertainty
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