It has been widely recognized that artificial intelligence
computations offer large potential for distributed and parallel
processing. Unfortunately, not much is known about designing
parallel AI algorithms and efficient, easy-to-use parallel computer
architectures for AI applications. The field of parallel
computation and computers for AI is in its infancy, but some
significant ideas have appeared and initial practical experience
has become available. The purpose of this book has been to collect
in one volume contributions from several leading researchers and
pioneers of AI that represent a sample of these ideas and
experiences. This sample does not include all schools of thought
nor contributions from all leading researchers, but it covers a
relatively wide variety of views and topics and in this sense can
be helpful in assessing the state ofthe art. We hope that the book
will serve, at least, as a pointer to more specialized literature
and that it will stimulate interest in the area of parallel AI
processing. It has been a great pleasure and a privilege to
cooperate with all contributors to this volume. They have my
warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me
in the editorial task and demonstrated a great deal of skill and
patience. Janusz S. Kowalik vii INTRODUCTION Artificial
intelligence (AI) computer programs can be very time-consuming.
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