Designing Resilient Networked Swarms: A New Evolutionary Dynamic Approach that Introduces Dynamics and Variability to Population Game
Abstract
Our research will lead to new methods to characterize the self organizing capabilities of large swarms when each agent makes decisions and revises its strategies according to simple bounded rationality rules (protocols) inspired on evolutionary biology principles. The high level guidance is a payoff mechanism that continually ascribes a reward to each possible strategy in terms of the situational awareness and the overall configuration of the swarm. Considering that the protocols will favor higher reward strategies, the payoff mechanism, if appropriately chosen, can lead the swarms towards desirable configurations. Unlike existing work, we will consider that the payoff mechanism, which needs to broadcast the reward structure to at least some members of the swarm, may be adversely affected by delays, variability and other detrimental effects such as jamming and information transmission outages. Our technical approach is mostly inspired on so called passivity based methods that were initially developed to certify the resilience and stability of feedback interconnections of dynamical systems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 14, 2022
- Source ID
- FA95501910315
Entities
People
- Nuno C. Martins
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Maryland