Conceptual spaces were originally introduced by Gärdenfors as a bridge between symbolic and connectionist models of information representation. In our opinion, a cognitive agent, besides being able to work within his (current) conceptual space, must also be able to ‘produce a new space’ by means of ‘global’ operations. These are operations which, acting on a conceptual space taken as a whole, g...

A specific feature of the modern world is capitalization not only ideas, objects, social practices and institutions, but itself. Branding a special process, allowing construction an acceptable picture reality that independent care political domination. It initially focuses on desired expected target. The main topic present research phenomenon “Big Bang” in cultural field. analysis transformatio...

The objective of this paper is to provide an overview of the Synchronization of Multi-User Event Media (SEM) Task, which is part of the MediaEval Benchmark for Multimedia Evaluation. The SEM task was initially presented at MediaEval in 2014, with the goal of proposing a challenge in aligning multiple users’ photo galleries related to the same event but with unreliable timestamps. Besides aligni...

The talk gives a survey on some symbolic algorithmic methods for solving systems of algebraic equations with special emphasis on parametric systems. Besides complex solutions I consider also real solutions of systems including inequalities. The techniques described include the Euclidean algorithm, Grr obner bases, characteristic sets, univariate and multivariate Sturm-Sylvester theorems, compre...

This paper introduces a hybrid system termed cascade adaptive resonance theory mapping (ARTMAP) that incorporates symbolic knowledge into neural-network learning and recognition. Cascade ARTMAP, a generalization of fuzzy ARTMAP, represents intermediate attributes and rule cascades of rule-based knowledge explicitly and performs multistep inferencing. A rule insertion algorithm translates if-the...

In this paper we study the parallelization of the inference process for connectionist models. We use a symbolic formalism for the representation of the connectionist models. With this translation, the training mechanism is local in the elements of the network, the computing power is improved in the network nodes and a local hybridization with symbolic parts is achieved. The inference in the nal...