Abstract: This paper presents the application of Networks of Evolutionary Processors to Decision Support Systems, precisely Knowledge-Driven? DSS. Symbolic information and rule-based behavior in Networks of Evolutionary Processors turn out to be a great tool to obtain decisions based on objects present in the network. The non-deterministic and massive parallel way of operation results in NP-problem solving in linear time. A working NEP example is shown.

Keywords: Natural Computing, Networks of Evolutionary Processors, Decision Support Systems.

ACM Classification Keywords: F.1.2 Modes of Computation, I.6.1 Simulation Theory, H.1.1 Systems and Information Theory.

Link:

NETWORKS OF EVOLUTIONARY PROCESSORS (NEP) AS DECISION SUPPORT SYSTEMS1

Nuria Gómez Blas, Miguel Angel Díaz, Juan Castellanos, Francisco Serradilla

http://www.foibg.com/ijita/vol15/ijita15-1-p05.pdf