Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Abstract. Natural forming multi-agent systems have the ability to grow to enormous sizes and perform seemingly complex tasks without the existence of any centralized control. Their...
Abstract — This paper addresses the problem of coordinating multiple mobile robots in a tightly coupled task by means of implicit communication. This approach allows the developm...
Guilherme A. S. Pereira, Bruno S. Pimentel, Luiz C...
Abstract. Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic proc...
Graham Williamson, Davide Cellai, Simon A. Dobson,...
Abstract. We have developped a physically-based model where an object is represented by a set of mass points on its contour. Each object may be defined locally and physically usin...