Participate in xSWARM 2020 - March 25th & 26th, 2020
Identifying, modeling, characterizing, and predicting the control strategies and behaviors of partially observable swarms is a problem that exists in multiple disciplines across both natural and engineered systems. A particular challenge is in the case of “black box” swarms or—xSwarms— for which there is a lack of a priori information about the internal control and decision-making mechanisms and only partial information about the system’s perceptual and communication capabilities.
This is a problem that can occur in the study of natural collective systems, but also may increasingly become of importance to both military and first responder organizations as engineered swarming systems become easier to develop and field for a wide range of applications, including commercial ones. This generates a need for methods that that are appropriate for a range of situations including real-time or near real-time, and with varying degrees of automation and reliability. The significant theoretical, computational, experimental, and data challenges to progress are the focus of this workshop. Read More...