Research Summaries

Back Artificial Swarm intelligence

Fiscal Year 2021
Division Graduate School of Operational & Information Sciences
Department Computer Science
Investigator(s) Drusinsky, Doron
Sponsor Department of Defense Space (DoD)
Summary This proposal addresses the Science of the Artificial technical domain (4.3), for the topic of Artificial Swarm Intelligence. The two objectives for this research are: (i) provide a framework (algorithms and methods) for swarm planning and reasoning, and (ii) provide a framework (algorithms and methods) for swarm security. As a result of this effort the DoD Space will have the ability to use swarms of intelligent agents, such as drones, capable of group planning reasoning and with group and swarm level security. An example of swarm planning is path planning using obstacle information provided by members of the swarm. An example of swarm security is the use of Predicate Based Encryption (PBA) so that only agent in a certain location or agent with certain attributes can decrypt the message and can do so only for the message part pertaining to those agents. Current state of the art research of autonomous reasoning and security does not extend to swarms. 2 This research will be conducted by Doron Drusinsky, Associate Professor, CS department, Naval Postgraduate School. No one else will be working on this effort.
Keywords
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal