<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-04T04:41:59Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/15963" metadataPrefix="qdc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/15963</identifier><datestamp>2026-02-03T12:13:22Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37959</setSpec></header><metadata><qdc:qualifieddc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Introducing probabilistic celular automata. A versatile extension of Game of Live</dc:title>
   <dc:creator>Aguilera-Venegas, Gabriel</dc:creator>
   <dc:creator>Egea-Guerrero, Rocío</dc:creator>
   <dc:creator>Galán-García, José Luis</dc:creator>
   <dc:subject>Autómatas celulares</dc:subject>
   <dcterms:abstract>The "Game of life" model was created in 1970 by the mathematician Jonh Horton Conway&#xd;
using cellular automata. Since then, di erent extensions of these cellular automata have been&#xd;
used in many applications, such as car traffic control or baggage traffic in an airport.&#xd;
These extensions introduce ideas not only from cellular automata models but also from neural&#xd;
networks theory.&#xd;
&#xd;
In this work, we introduce probabilistic cellular automata which include non-deterministic&#xd;
rules for transitions between successive generations of the automaton together with probabilistic&#xd;
decisions about life and death of the cells in next generation of the automaton. This way,&#xd;
more realistic situations can be modeled and the obtained results are also non-deterministic.&#xd;
As an example of use, an implementation of this probabilistic cellular automaton has been&#xd;
developed using it for simulating tissues evolution. The authors are specially interested in&#xd;
simulations of cancerous tissues.</dcterms:abstract>
   <dcterms:dateAccepted>2018-06-14T11:03:58Z</dcterms:dateAccepted>
   <dcterms:available>2018-06-14T11:03:58Z</dcterms:available>
   <dcterms:created>2018-06-14T11:03:58Z</dcterms:created>
   <dcterms:issued>2018-06-14</dcterms:issued>
   <dc:type>conference output</dc:type>
   <dc:identifier>https://hdl.handle.net/10630/15963</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>ESCO 2018</dc:relation>
   <dc:relation>Pilsen, República Checa</dc:relation>
   <dc:relation>03 al 8 Junio 2018</dc:relation>
   <dc:rights>open access</dc:rights>
</qdc:qualifieddc>
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