M. Samie, G. Dragffy, A. Popescu, A. Pipe, C. Melhuish
{"title":"Prokaryotic Bio-Inspired Model for Embryonics","authors":"M. Samie, G. Dragffy, A. Popescu, A. Pipe, C. Melhuish","doi":"10.1109/AHS.2009.45","DOIUrl":null,"url":null,"abstract":"This paper is presented in conjunction with, and forms the first part of, the paper entitled “Prokaryotic Bio-Inspired Systems.” In this part we propose and investigate a novel prokaryotic cell-based bio-inspired model suitable to implement self-healing bio-inspired systems. A key feature of our model is that system reliability can be increased with a minimal amount of hardware overhead. It also offers a bio-inspired compression/decompression technique that exploits the intimate relationship between different genes. Distributed DNA, highly dynamic and flexible routing resources and optimized self-repair characteristics (using Block and cell elimination) are some of the other advantages of the proposed model.","PeriodicalId":318989,"journal":{"name":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.2009.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
This paper is presented in conjunction with, and forms the first part of, the paper entitled “Prokaryotic Bio-Inspired Systems.” In this part we propose and investigate a novel prokaryotic cell-based bio-inspired model suitable to implement self-healing bio-inspired systems. A key feature of our model is that system reliability can be increased with a minimal amount of hardware overhead. It also offers a bio-inspired compression/decompression technique that exploits the intimate relationship between different genes. Distributed DNA, highly dynamic and flexible routing resources and optimized self-repair characteristics (using Block and cell elimination) are some of the other advantages of the proposed model.