{"title":"基于梯度的预期适应自组织模式","authors":"Sara Montagna, Danilo Pianini, Mirko Viroli","doi":"10.1109/SASO.2012.25","DOIUrl":null,"url":null,"abstract":"In this paper we conceive new self-organisation mechanisms to enhance the Gradient self-organisation pattern with anticipative adaptation abilities. We ensure that the problem of retrieving a target of interest in mobile environments is solved by proactively reacting to locally-available information about future events, namely, the knowledge about future obstacles (e.g., expected jams or road interruption in a traffic control scenario) is used to compute alternative and faster paths in an emergent way.","PeriodicalId":126067,"journal":{"name":"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Gradient-Based Self-Organisation Patterns of Anticipative Adaptation\",\"authors\":\"Sara Montagna, Danilo Pianini, Mirko Viroli\",\"doi\":\"10.1109/SASO.2012.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we conceive new self-organisation mechanisms to enhance the Gradient self-organisation pattern with anticipative adaptation abilities. We ensure that the problem of retrieving a target of interest in mobile environments is solved by proactively reacting to locally-available information about future events, namely, the knowledge about future obstacles (e.g., expected jams or road interruption in a traffic control scenario) is used to compute alternative and faster paths in an emergent way.\",\"PeriodicalId\":126067,\"journal\":{\"name\":\"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASO.2012.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASO.2012.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gradient-Based Self-Organisation Patterns of Anticipative Adaptation
In this paper we conceive new self-organisation mechanisms to enhance the Gradient self-organisation pattern with anticipative adaptation abilities. We ensure that the problem of retrieving a target of interest in mobile environments is solved by proactively reacting to locally-available information about future events, namely, the knowledge about future obstacles (e.g., expected jams or road interruption in a traffic control scenario) is used to compute alternative and faster paths in an emergent way.