Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is ...
This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and s...
The advent of sensor networks presents untapped opportunities for synthesis. We examine the problem of synthesis of behavioral specifications into networks of programmable sensor ...
Ryan Mannion, Harry Hsieh, Susan Cotterell, Frank ...
Abstract--Human behavior analysis in video sharing social networks is an emerging research area, which analyzes the behavior of users who share multimedia content and investigates ...