# Self-Adaptive Swarm System (SASS)

arXiv: https://arxiv.org/abs/2106.04679 · HTML: https://mlsanity.com/paper/2106.04679/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 17 references that are in the map.
- First posted on arXiv 25 May 2021.

## Builds on (most cited first, 3 of 3)

- [Hierarchical Needs Based Self-Adaptive Framework For Cooperative Multi-Robot System](https://mlsanity.com/paper/2004.10920/) (2020)
- [Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions](https://mlsanity.com/paper/2009.00288/) (2020)
- [A Game-Theoretic Utility Network for Cooperative Multi-Agent Decisions in Adversarial Environments](https://mlsanity.com/paper/2004.10950/) (2020)

## Abstract (arXiv)

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.