Abstract
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.
Original language | English |
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Title of host publication | The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 15740-15741 |
Number of pages | 2 |
ISBN (Print) | 9781713835974 |
Publication status | Published - 28 May 2021 |
Event | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online Duration: 2 Feb 2021 → 9 Feb 2021 |
Publication series
Name | Proceedings of the AAAI Conference on Artificial Intelligence |
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Publisher | AAAI |
Number | 18 |
Volume | 35 |
ISSN (Print) | 2159-5399 |
ISSN (Electronic) | 2374-3468 |
Conference
Conference | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
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City | Virtual, Online |
Period | 2/02/21 → 9/02/21 |
Bibliographical note
Publisher Copyright:Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved
Keywords
- Multi-agent System
- Multi-agent Learning
- Situation Awareness
- Optimisation
ASJC Scopus subject areas
- Artificial Intelligence