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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1024

Title: Extended Networks of Evolutionary Processors
Authors: de Mingo, Luis
Blas, Nuria
Gisbert, Francisco
Peña, Miguel
Keywords: Networks of Evolutionary Processors
Membrane Systems
Natural Computation
Simulation Theory
Systems and Information Theory
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets are able to solve NP-complete problems working with symbolic information. Information can evolve applying rules and can be communicated though the net provided some constraints are verified. These nets are based on biological behavior of membrane systems, but transformed into a suitable computational model. Only symbolic information is communicated. This paper proposes to communicate evolution rules as well as symbolic information. This idea arises from the DNA structure in living cells, such DNA codes information and operations and it can be sent to other cells. Extended nets could be considered as a superset of networks of evolutionary processors since permitting and forbidden constraints can be written in order to deny rules communication.
URI: http://hdl.handle.net/10525/1024
ISSN: 1313-0455
Appears in Collections:Book 2 Advanced Research in Artificial Intelligence

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