{"title":"Automated Self-Assembly Programming Paradigm: Initial Investigations","authors":"Lin Li, N. Krasnogor, J. Garibaldi","doi":"10.1109/EASE.2006.3","DOIUrl":null,"url":null,"abstract":"This paper presents a model that simulates a self-assembly process for software components. Initial investigations on the automated self-assembly programming paradigm (ASAP2) is presented whereby software components are treated as a gas' molecules and their interactions, within a confined area with specific temperature and pressure constraints, give rise to a variety of program architectures. We present experimental results that show how different factors affect the efficiency of the software self-assembly process and the diversity of the self-assembled programs. To the best of our knowledge this is the first time that self-assembly - a ubiquitous natural phenomenon - has been proposed as a (potentially) viable alternative to other automated program synthesis methodologies like for example genetic programming","PeriodicalId":202442,"journal":{"name":"Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems (EASE'06)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems (EASE'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EASE.2006.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
This paper presents a model that simulates a self-assembly process for software components. Initial investigations on the automated self-assembly programming paradigm (ASAP2) is presented whereby software components are treated as a gas' molecules and their interactions, within a confined area with specific temperature and pressure constraints, give rise to a variety of program architectures. We present experimental results that show how different factors affect the efficiency of the software self-assembly process and the diversity of the self-assembled programs. To the best of our knowledge this is the first time that self-assembly - a ubiquitous natural phenomenon - has been proposed as a (potentially) viable alternative to other automated program synthesis methodologies like for example genetic programming