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"Paradigms of Artificial Intelligence" presents a new  methodolo-
gical analysis of the two competing research paradigms of artifi-
cial intelligence and cognitive science: the symbolic versus  the
connectionist paradigm. It argues that much of the discussion put
forward for either paradigm misses the point. Most of  the  argu-
ments  in  the  debates  on  the two paradigms concentrate on the
question whether the nature of intelligence or cognition is prop-
erly  accommodated  by one or the other paradigm. Opposed to that
is the analysis in this book, which concentrates on the  question
which  of  the  paradigms  accommodates the "user" of a developed
theory or technique. The "user", who may be an engineer or scien-
tist,  has  to be able to grasp the theory and to competently the
methods which are developed. Consequently, besides the nature  of
intelligence  and  cognition, the book derives new objectives for
future research which will help  to  integrate  aspects  of  both
paradigms  to obtain more powerful AI techniques and to promote a
deeper understanding of cognition.

The book presents the fundamental ideas of both, the symbolic  as
well  as  the connectionist paradigm.  Along with an introduction
to the philosophical foundations, an exposition of  some  of  the
typical techniques of each paradigm is presented in the first two
parts. This is followed by the  mentioned  analysis  of  the  two
paradigms in the third part.

The  book  is  intended  for researchers, practitioners, advanced
students, and interested observers of the  developing  fields  of
artificial intelligence and cognitive science. Providing accessi-
ble introductions to the basic ideas of both paradigms, it is al-
so  suitable  as  a textbook for a subject on the topic at an ad-
vanced level in computer science, philosophy, cognitive  science,
or psychology.