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Author (up) Goles, E.; Montealegre, P. pdf  doi
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  Title Computational complexity of threshold automata networks under different updating schemes Type Journal Article
  Year 2014 Publication Theoretical Computer Science Abbreviated Journal Theor. Comput. Sci.  
  Volume 559 Issue Pages 3-19  
  Keywords Automata networks; Threshold functions; Computational complexity; Updating scheme; P-completeness; NC; NP-Hard  
  Abstract Given a threshold automata network, as well as an updating scheme over its vertices, we study the computational complexity associated with the prediction of the future state of a vertex. More precisely, we analyze two classes of local functions: the majority and the AND-OR rule (vertices take the AND or the OR logic functions over the state of its neighborhoods). Depending on the updating scheme, we determine the complexity class (NC, P, NP, PSPACE) where the prediction problem belongs. (C) 2014 Elsevier B.V. All rights reserved.  
  Address [Goles, Eric] Univ Adolfo Ibanez, Fac Ciencias & Tecnol, Santiago, Chile, Email: eric.chacc@uai.cl;  
  Corporate Author Thesis  
  Publisher Elsevier Science Bv Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0304-3975 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000347025300002 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 434  
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