Now showing items 1-4 of 4
Multiscale Views of Multi-agent Interactions in the Context Of Collective Behavior
(Virginia Tech, 2017-08-01)
In nature, many social species demonstrate collective behavior ranging from coordinated motion in flocks of birds and schools of fish to collective decision making in humans. Such distinct behavioral patterns at the group ...
Transfer Entropy Analysis of the Interactions of Flying Bats
(Virginia Tech, 2015-06-29)
In this document, a low-cost, portable, non-invasive method of collecting the 3D trajectories of flying bats is first presented. An array of commercially available camera and light components is used alongside a number ...
EEG-Based Control of Working Memory Maintenance Using Closed-Loop Binaural Stimulation
(Virginia Tech, 2018-05-17)
The brain is a highly complex network of nonlinear systems with internal dynamic states that are not easily quantified. As a result, it is essential to understand the properties of the connectivity network linking disparate ...
Bat swarming as an inspiration for multi-agent systems: predation success, active sensing, and collision avoidance
(Virginia Tech, 2016-02-22)
Many species of bats primarily use echolocation, a type of active sensing wherein bats emit ultrasonic pulses and listen to echoes, for guidance and navigation. Swarms of such bats are a unique type of multi-agent systems ...