A computer program has been designed and implemented to allow a researcher to analyze the oscillatory behavior of simulated neural networks with cyclic connectivity. The computer program, implemented on the Texas Instruments Explorer / Odyssey system, and the results of numerous experiments are discussed. The program, CYCLES, allows a user to construct, operate, and inspect neural networks cont...

Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally intensive, a trade-off between the quality of the selected subset and the computation time is required. In this paper, we are presenting a novel, anytime algorithm for feature selection, which gradually improves the q...

Our study examines the 2019 European elections campaign in Italian Twittersphere and online activity of Matteo Salvini, former Interior Minister leader League. We consider social media contest Vinci Salvini! (“Win Salvini!”) we demonstrate how gamification, form casual games, can affect participation content visibility. The involved less committed citizens, offering an easy interruptible mode p...

This work investigates the impact of windfarm on the distribution network power quality. The quality of wind power is decided by IEEE Standard 519-1992 and IEEE Standard 1547. The experiments were carried out at the Vankuswade wind power project, Satara, (M.S.), India. The results are then compared by MATLAB simulation software (Version R2008a). The system is also simulated for system stability...

This papers proposes a new approximation method for Dempster-Shafer belief functions. The method is based on a new concept of incomplete belief potentials. It allows to compute simultaneously lower and upper bounds for belief and plausibility. Furthermore, it can be used for a resource-bounded propagation scheme, in which the user determines in advance the maximal time available for the computa...

A model of human visual perception of collisions is presented, based on twodimensional measures of eccentricity and separation. The model is validated by performing psychophysical experiments. We demonstrate the feasibility of using this model as the basis for perceptual scheduling of interruptible collision detection in a realtime animation of large numbers of visually homogeneous objects. The...

Real-time performance is increasingly attracting the attention of the artiicial intelligence (AI) community. In spite of their success in various applications, classical AI systems are unsatisfactory when applied to real-time applications. In this paper, we point out the problems raised by integration of real-time capabilities into multi-agent architectures. We present rst the main requirements...

Collision detection and response can make a virtual-reality application seem more believable. Unfortunately , existing collision-detection algorithms are too slow for interactive use. We present a new algorithm that is not only fast but also interruptible, allowing an application to trade quality for more speed. Our algorithm uses simple four-dimensional geometry to approximate motion, and sets...

In programming there is sometimes a need to make computation interruptible by external events. This paper argues that a dedicated language mechanism solves this need better than a pure library convention. The main issue in designing such a mechanism is specifying points of computation where it’s safe to interrupt a thread in order to execute a signal handler. The paper proposes rules for identi...