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pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence . 20: 197-218. Jones, M. N.; and Mewhort, D. J. 2007. Representing word meaning and order information in a composite holographic lexicon. Psychological review . 114: 1-37. Jordan, M. I.; and Sejnowski, T. J. 2001. Graphical Models: Foundations of Neural Computation . Cambridge, MA: MIT Press. Joshi, H.; Rosenbloom, P. S.; and Ustun, V. 2014. Isolated word recognition in the Sigma cognitive architecture. Biologically Inspired Cognitive Architectures . 10: 1-9. Kahneman, D

Using Graphical Models for Depth Map Estimation

Two slightly different projections of the same scene allow the stereovision algorithms to reconstruct its 3D structure and to estimate the distance to particular object. However commonly used real-time correlation-based solutions usually suffer from inaccuracy. Therefore, finding an efficient and accurate algorithm for depth reconstruction is still a challenging task to do. The approach to stereo matching, presented in this paper is described as a problem of correlating different local observations that evaluate the dissimilarities between left and right images in order to obtain smooth and more accurate depth map. The results obtained with the proposed method are evaluated and compared with other state of the art methods.


Survival of plant species is governed by a number of functions. The participation of each function in species survival and the impact of the contrary behaviour of the species vary from function to function. The probability of extinction of species varies in all such scenarios and has to be calculated separately. Secondly, species follow different patterns of dispersal and localisation at different stages of occupancy state of the site, therefore, the scenarios of competition for resources with climatic shifts leading to deterioration and loss of biodiversity resulting in extinction needs to be studied. Furthermore, most possible deviations of species from climax community states needs to be calculated before species become extinct due to sudden environmental disruption. Globally, various types of anthropogenic disturbances threaten the diversity of biological systems. The impact of these anthropogenic activities needs to be analysed to identify extinction patterns with respect to these activities. All the analyses mentioned above have been tried to be achieved through probabilistic or graphical models in this study.

of patellofemoral pain. Clinical Orthopaedics and Related Research, 436, 100–110. Foster, C. (1998). Monitoring training in athletes with reference to overtraining syndrome. Medicine & Science in Sports & Exercise, 30, 1164-1168. Friedman, N. (2004). Inferring cellular networks using probabilistic graphical models. Science, 303, 799-805. Friedman, N., Murphy, K., & Russell, S. (1998). Learning the structure of dynamic probabilistic networks. In G. Cooper, & S. Moral (Eds.), Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence

A general characteristics of a car hydraulic braking system (CHBS) is presented in this publication. A graphical model of properties-component objects is developed for the above-mentioned system. Moreover, four mathematical models in terms of logic, the set theory and the Boolean algebra of Boolean functions are developed. The examination is ended with a general model of the CHBS for n - Boolean variables and the construction and mathematical-technical interpretation of this model is presented.


The aim of this paper is to present a developed computational program for computer graphical modelling of planar and spatial robots and manipulators closed kinematic chains. In order to demonstrate the functionality of the program two types of 5-bars and two types of 8-bars closed manipulators are used for simulation of the kinematic models. The basic mathematical calculations for visual representation of kinematic models are made, as well as calculations and visualisation of the manipulators zone of reachability frame by frame. The presented program can be used for analyzing closed kinematic chains, solving tasks from the real practice or for students training.


The paper deals with the issue of lobbying, defined as a democratic means of promoting interests. The text tries to find answers to the problems in the current economic theory. The basic links are defined by using a simple graphic model, which are further examined by the SWOT analysis. The result is the knowledge that the basic coordination mechanism is the market – the information market. The role of government lies above all in creating a favourable institutional environment that does not interfere with spontaneous market relations. However, there are certain situations that the government could or should regulate. These situations are described by three hypothetical scenarios – a society without lobbying, a society where lobbing exists, but it is not transparent, and a society where lobbing is transparent, leading to a final discussion of possible directions and ways of its regulation.


The approach adopted in this paper focuses on the faults prediction in asynchronous machines. The main goal is to explore interesting information regarding the diagnosis and prediction of electrical machines failures by the use of a Bayesian graphical model. The Bayesian forecasting model developed in this paper provides a posteriori probability for faults in each hierarchical level related to the breakdowns process. It has the advantage that it can give needed information’s for maintenance planning. A real industrial case study is presented in which the maintenance staff expertise has been used to identify the structure of the Bayesian network and completed by the parameters definition of the Bayesian network using historical file data of an induction motor. The robustness of the proposed methodology has also been tested. The results showed that the Bayesian network can be used for safety, reliability and planning applications.


This paper attempts to indicate changes in industry during the period of economic restructuring and European integration in Slovakia in the regional and sectoral contexts. The concepts of geographic concentration and regional specialization are used in order to achieve the envisaged aims. Based on the relationship between the change in the specialization index and the change in the number of companies in three size categories, the main aim is to show the strategies used in the transformation of the regional industrial structure. It is expected that the largest category of industrial companies, those with 250 or more employees, will be a significant factor in explaining the changes in regional specialization. The main output will be a graphic model of transformation strategies and the identification of regional industrial types.


Today's modern age is characterized by the rapid development of information and communication technologies, which is also reflected in the educational process. It is therefore necessary to prepare the young generation of even at primary and secondary schools to solve problems from real life. Using the appropriate motivation, innovative methods and application of modern information and communication technologies into the teaching process, we can succeed. Constructions created using by dynamic geometry systems bring new opportunities to learning. The aim of this article is to introduce the possibility of using GeoGebra in graphics solution of system of linear inequalities and also in the geometric interpretation of solutions to word problems leading to the linear optimization. The article describes the observations of experimental teaching, where was used GeoGebra. The experimental teaching was conducted at a grammar school in Košice. GeoGebra offers suitable tools to create graphical models in solving the optimization problems.