A solution to SAT with virus machines with pre-computed resources

Abstract In Natural Computing, different real-life processes can appear as the inspiration for a new model of computation. Virus machines use the spread and replication of biological viruses as an inspiration for a model of computation with three well-differentiated graphs: the hosts graph, that acts like the memory; the instructions graph, that acts as a program; and the instructions-channel graph, that controls the flow of information through the system. In previous works, the computational power and problem-solving capabilities of this model have been demonstrated. In this work, we provide an application for solving the problem in polynomial time using an EXP -uniform family of super virus machines with OR channel parallelism.

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Publication Details

Journal
Journal of Membrane Computing
Published
2025-05-07
DOI
https://doi.org/10.1007/s41965-025-00190-3
Citations
1
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.81

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article

A solution to SAT with virus machines with pre-computed resources

David Orellana-Martín, Claudio Zandron, Alberto Leporati
1 citations
Journal of Membrane Computing
DNA and Biological Computing
0.81
article

A solution to SAT with virus machines with pre-computed resources

David Orellana-Martín, Claudio Zandron, Alberto Leporati
article en
1 citations

Abstract

Abstract In Natural Computing, different real-life processes can appear as the inspiration for a new model of computation. Virus machines use the spread and replication of biological viruses as an inspiration for a model of computation with three well-differentiated graphs: the hosts graph, that acts like the memory; the instructions graph, that acts as a program; and the instructions-channel graph, that controls the flow of information through the system. In previous works, the computational power and problem-solving capabilities of this model have been demonstrated. In this work, we provide an application for solving the problem in polynomial time using an EXP -uniform family of super virus machines with OR channel parallelism.

Journal of Membrane ComputingVol. 8(1)
Instituto de Recursos Naturales y Agrobiología de Sevilla (ES), University of Milano-Bicocca (IT), Universidad de Sevilla (ES)
Universidad de Sevilla, Dipartimenti di Eccellenza, Università degli Studi di Milano-Bicocca, Major Scientific Project of Zhejiang Laboratory
Openalex Percentile: Top 28%
DNA and Biological Computing
0.81
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