Parallelism, Learning, Evolution

This volume presents the proceedings of a workshop on
evolutionary models   and strategies and another workshop on
parallel processing, logic,               organization, and technology,
both held in Germany in 1989.
In the         search for new concepts relevant for parallel and
distributed processing,   the workshop on parallel processing
included papers on aspects of space and time,
representations of systems, non-Boolean logics, metrics,
dynamics and structure, and superposition and uncertainties.
The point was stressed   that distributed representations of
information may share features with      quantum physics, such as
the superposition principle and the uncertainty      relations.
Much of the volume contains material on general                           parallel
processing machines, neural networks, and                                       system-theoretic
aspects.
The material on evolutionary strategies is      included because
these strategies will yield important and                           powerful
applications for parallel processing machines, and open the
wayto new problem classes to be treated by computers.