{"title":"Collaboration as an Emergent Property of Self-Organizing Software Systems","authors":"Michael Oesterle","doi":"10.1109/FAS-W.2019.00060","DOIUrl":null,"url":null,"abstract":"Given an open, dynamically adaptive software system whose components are agents with their respective interests, goals and objectives, this PhD project will develop a methodology to allow the components to establish collaboration without the governance of a central control unit, but rather as an emergent function of the system itself. The interaction of the components relies on different layers of abstraction, providing a generic communication protocol as well as semantic integration and overarching rules ('laws of nature'). The work focuses on modeling and analyzing the top layer of this framework: An emergent Governance Layer which allows the components to strategically interact with each other, aggregates individual preferences, and has the ability to reconcile interests and to lead to collaborative actions in a meaningful way.","PeriodicalId":368308,"journal":{"name":"2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FAS-W.2019.00060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Given an open, dynamically adaptive software system whose components are agents with their respective interests, goals and objectives, this PhD project will develop a methodology to allow the components to establish collaboration without the governance of a central control unit, but rather as an emergent function of the system itself. The interaction of the components relies on different layers of abstraction, providing a generic communication protocol as well as semantic integration and overarching rules ('laws of nature'). The work focuses on modeling and analyzing the top layer of this framework: An emergent Governance Layer which allows the components to strategically interact with each other, aggregates individual preferences, and has the ability to reconcile interests and to lead to collaborative actions in a meaningful way.