Parallelism, Learning, Evolution

This volume presents the proceedings of a workshop onevolutionary models and strategies and another workshop onparallel processing, logic, organization, and technology,both held in Germany in 1989. In the search for new concepts relevant for parallel anddistributed processing, the workshop on parallel processingincluded 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 ofinformation may share features with quantum physics, such asthe superposition principle and the uncertainty relations. Much of the volume contains material on general parallelprocessing machines, neural networks, and system-theoreticaspects. The material on evolutionary strategies is included becausethese strategies will yield important and powerfulapplications for parallel processing machines, and open thewayto new problem classes to be treated by computers.