Titlebook: Computational Intelligence; International Joint Juan Julian Merelo,Fernando Melício,Joaquim Filipe Conference proceedings 2019 Springer Na

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A System for Evolving Art Using Supervised Learning and Aesthetic Analogiesprocess to translate our perceptions into creative works of art. In this paper we present our research on the development of an artificially intelligent system for the creation of art in the form of real-time visual displays to accompany a given music piece. The presented system achieves this by usi

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Evolution of Mobile Strategies in Social Dilemma Games: An Analysis of Cooperative Cluster Formationel considered, agents inhabit a toroidal lattice grid, in which they participate in a social dilemma games, and have the ability to move in response to environmental stimuli. In particular, using the classical 2-player prisoner’s dilemma and a generalised N-player prisoner’s dilemma, we compare and

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Input Value Skewness and Class Label Confusion in the NEFCLASS Neuro-Fuzzy Systemng and testing data sets exhibit significant skew. As skewed feature values are commonly observed in biological data sets, this is a topic that is of interest in terms of the applicability of such a classifier to these types of problems. This paper presents an approach to improve the classification

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Hyperresolution for Propositional Product Logic with Truth Constantsrresolution calculus suitable for automated deduction in a useful expansion of the propositional product logic by intermediate truth constants and the equality, ., strict order, ., projection, ., operators. We expand the propositional product logic by a countable set of intermediate truth constants

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Fuzzy Clustering of High Dimensional Data with Noise and Outliershe most fuzzy clustering algorithms fail to work on high dimensional data producing cluster prototypes close to the center of gravity of the data set. The presence of noise and outliers in data is an additional problem for clustering algorithms because they might affect the computation of cluster ce