We provide a rule to calculate the subdifferential of the pointwise supremum of an arbitrary family of convex functions defined on a real locally convex topological vector space. ...
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
This paper defines a new multi-layered architecture for supporting optical burst switching (OBS) in an optical core network. The architecture takes into account both the control p...
Farid Farahmand, Vinod Vokkarane, Jason P. Jue, Jo...
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
We address the topic of specifying multi-agent systems using the situation and state calculus (SSC). SSC has been proposed as an extension of the situation calculus to overcome so...