---
title: "Self-Adaptive Swarm System (SASS)"
authors:
  - "Qin Yang"
doi: "10.24963/ijcai.2021/722"
url: "https://ijcai.org/proceedings/2021/722"
pdf: "https://ijcai.org/proceedings/2021/0722.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "5040-5041"
track: "Doctoral Consortium"
keywords:
  - "Uncertainty in AI: Bayesian Networks"
  - "Robotics: Multi-Robot Systems"
  - "Machine Learning: Bayesian Learning"
  - "Agent-based and Multi-agent Systems: Agent Theories and Models"
---

# Self-Adaptive Swarm System (SASS)

Qin Yang

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 5040-5041. DOI: [10.24963/ijcai.2021/722](https://doi.org/10.24963/ijcai.2021/722)

## 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.