Multi-agent coordination under limited communication

In this thesis, we present a theory for constructing real-time executives that can reason about communication between agents. In multi-agent coordination problems, different agents have different beliefs about the state of the world that can eventually be reconciled if the agents are able to share sufficient information with one another. When communication is limited, this task becomes more difficult. To achieve robustness, coordination decisions need to be made, executed, and adapted in real-time by a real-time executive. Most existing real-time executives rely on perfect knowledge of the state of the world, making it difficult to use them in scenarios where agents either cannot or prefer not to communicate and share information. This thesis offers three contributions that together provide the basis for constructing a real-time executive capable of handling multi-agent coordination under limited communication.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Bhargava, Nikhil(Nikhil Gaurev)

Advisor dc:contributor.advisor

• Brian C. Williams.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/128409

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/128409