TY - JOUR AU - Yusuf, Sagir Muhammad AU - Baber, Chris PY - 2021/05/18 Y2 - 2024/03/29 TI - Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 35 IS - 18 SE - The Twenty-Sixth AAAI/SIGAI Doctoral Consortium DO - 10.1609/aaai.v35i18.17867 UR - https://ojs.aaai.org/index.php/AAAI/article/view/17867 SP - 15740-15741 AB - This thesis focuses attention on achieving Distributed Situation Awareness (DSA) with minimal resources (energy, processing cost, etc.) using small low-capacity agents (e.g., UAVs) coordinated in a decentralised fashion while conducting searching activity. This is in contrast to the existing works involving convoluted communication and information processing. ER -