Abstract. This article considers the link between theory and practice in agentoriented programming. We begin by rigorously defining a new formal specification language for autono...
We present a solution to the winner determination problem which takes into account not only costs but also risk aversion of the agent that accepts the bids, and which works for au...
Performance models for Network-on-Chip (NoC) are essential for design, optimization and Quality of Service (QoS) assurance. Classical queueing theory has been often used to provid...
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...