Titlebook: Recent Developments in Computational Collective Intelligence; Amelia Badica,Bogdan Trawinski,Ngoc Thanh Nguyen Conference proceedings 2014

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Agents in the Browser – Using Agent Oriented Programming for Client Side Development past decade, having reached a point where it is feasible to develop complex, large client side applications, i.e. applications that run in the browser. Together with mobile applications, web applications is a field in which Agent Oriented Programming can shine..In this paper we propose a dialect of

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Handwritten Numerical Character Recognition Based on Paraconsistent Artificial Neural Networksd on bank checks based on Paraconsistent Artificial Neural Networks. The methodology employed was chosen for being a tool able to work with imprecise, inconsistent and paracomplete data without trivialization. The recognition process is performed from some character features previously selected base

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Substitution Tasks Method for Co-operationas been named substitution tasks method (ST method). According to the method, a solution is generated by means of sequence of dynamically created local optimization tasks so-called substitution tasks. The method is based on formal algebraic-logical meta model of multistage decision process (ALMM of

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The Estimation of Accuracy for the Neural Network Approximation in the Case of Sintered Metal Properch based on univariate and multivariate distributions is very useful for consistent and objective description of such structures. It provides information appropriate for a whole population of sinters, not only particular specimen. Empirical distributions of quantitative properties obtained from the

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Comparing Smoothing Technique Efficiency in Small Time Series Datasets after a Structural Break in MLT algorithm. After the identification of structural breaks we generate small time series consisting of 10, 30 observations starting from the moment of the break and apply the following smoothing techniques: simple moving average, exponential moving average, a Grey model GM(1,1). We identify the bes

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