The 2nd International Workshop on Hybrid Artificial Intelligence Systems (HAIS
2007) combines symbolic and sub-symbolic techniques to construct more robust and
reliable problem solving models. Hybrid intelligent systems are becoming popular due
to their capabilities in handling many real world complex problems, involving imprecision,
uncertainty and vagueness, high-dimensionality. They provide us with the
opportunity to use both, our knowledge and row data to solve problems in a more
interesting and promising way. This multidisciplinary research field is in continuous
expansion in the artificial intelligence research community and we believe that
CAEPIA 2007 is an excellent forum to run this event. HAIS 2007 provides an interesting
opportunity to present and discuss the latest theoretical advances and real-world
applications in this multidisciplinary research field.
This volume of Advances in Soft Computing contains accepted papers presented at
HAIS 2007 held in University of Salamanca, Salamanca, Spain, November 2007.
The global purpose of HAIS conferences has been to provide a broad and interdisciplinary
forum for Hybrid Artificial Intelligence Systems and Associated Learning
Paradigms, which are playing increasingly important roles in an important number of
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