We study competitive interaction between profit-maximizing firms that sell software and complementary goods or services. In addition to tactical price competition, we allow firms to compete through business model reconfigurations. We consider three business models: the proprietary model (where...

In this paper I study how innovation investment in a software duopoly is affected by the fact that one of the firms is, or might become Open Source. Firms can either be proprietary source (PS) or open source (OS) and have different initial technological levels. An OS firm is a for profit...

The open source model is a form of software development with source code that is typically made available to all interested parties. At the core of this process is a decentralized production process: open source software development is done by a network of unpaid software developers. Using data...

This paper describes results of the simulation of social objects, the dependenceof schoolchildren's professional abilities on their personal characteristics. Thesimulation tool is the articial neural network (ANN) technology. Results of acomparison of the time expense for training the ANN and...

This paper describes articial neural networks which are based on the adaptiveresonance theory. The usage of these articial neural networks for classicationtasks is presented. The example uses is the classication of patient health fromthe results of general blood analysis.[...]

An estimation of the number of multiplication and addition operations fortraining articial neural networks by means of consecutive and parallel algorithmson a computer cluster is carried out. The evaluation of the eciency of thesealgorithms is developed. The multilayer perceptron, the Volterra...

This paper describes a parallel algorithm for selecting activation functionsof an articial network. For checking the eciency of this algorithm a count ofmultiplicative and additive operations is used.[...]

This paper describes the analysis of a neural network used to predict currencyexchange rates in comparison to technical analysis. The neural network structuresused are a multilayer perceptron and a Volterra network.[...]

This paper describes parallel algorithms for training articial neural networks.Possible levels of parallelity are presented. Experiments for checking the efficiencyof algorithms are discussed.[...]