Networks of Parallel Language Processors
New Trends in Formal Languages - Control, Cooperation, and Combinatorics (to Jürgen Dassow on the occasion of his 50th birthday)
Solving NP-Complete Problems With Networks of Evolutionary Processors
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
New Small Universal Circular Post Machines
FCT '01 Proceedings of the 13th International Symposium on Fundamentals of Computation Theory
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A hybrid network of evolutionary processors (an HNEP) is a graph with a language processor, input and output filters associated to each node. A language processor performs one type of point mutations (insertion, deletion or substitution) on the words in that node. The filters are defined by certain variants of random-context conditions. In this paper, we present a universal complete HNEP with 10 nodes simulating circular Post machines and show that every recursively enumerable language can be generated by a complete HNEP with 10 nodes. Thus, we positively answer the question posed in [5] about the possibility to generate an arbitrary recursively enumerable language over an alphabet Vwith a complete HNEP of a size smaller than 27 + 3·card(V).