{"type":"ScholarlyArticle","title":"Self-Adaptive Swarm System (SASS)","authors":[{"name":"Qin Yang","slug":"qin-yang","given":"Qin","family":"Yang","affiliation":""}],"abstract":"Distributed artificial intelligence (DAI) studies artificial intelligence entities working together to reason, plan, solve problems, organize behaviors and strategies, make collective decisions and learn. This Ph.D. research proposes a principled Multi-Agent Systems (MAS) cooperation framework -- Self-Adaptive Swarm System (SASS) -- to bridge the fourth level automation gap between perception, communication, planning, execution, decision-making, and learning.","doi":"10.24963/ijcai.2021/722","url":"https://ijcai.org/proceedings/2021/722","pdf":"https://ijcai.org/proceedings/2021/0722.pdf","markdown":"https://ijcai.org/proceedings/2021/722.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/722","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Demo Track","track":"Doctoral Consortium","number":722,"pages":{"first":5040,"last":5041},"keywords":["Uncertainty in AI: Bayesian Networks","Robotics: Multi-Robot Systems","Machine Learning: Bayesian Learning","Agent-based and Multi-agent Systems: Agent Theories and Models"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}