Search results for "Intelligence"
showing 10 items of 6959 documents
EP 34. Functional hierarchy within the neural network for optokinetic ‘look’ nystagmus
2016
Item does not contain fulltext Key nodes of neural networks for ocular motor control and visual motion processing have been localized using saccades, smooth pursuit, and optokinetic nystagmus (OKN). Within the context of an independent fMRI study using OKN, 9 bilateral network nodes were localized comprising cortical eye fields in frontal (FEF), supplementary motor (SEF), cingulate (CEF) and parietal cortex (PEF), visual motion centers MT+ and V6, the superior colliculus (SC), the lateral geniculate nucleus (LGN) and the globus pallidus (GP). Here, we examined the network's functional hierarchy as present in the structural co-variation (SCoV) and resting-state (RS) fMRI, and the effect of R…
Qualitative Evaluation of Emotional Intelligence During Conversation Classes
2014
For centuries the main emphasis in education has been placed upon cognitive abilities. Emotional aspects have long been neglected and on occasion not even considered at all. Nevertheless, it is not only parents at present who have to assume responsibility for shaping emotions of their children. The introduction of emotional intelligence in the school curriculum is seemingly inevitable and promises to bring about a radical change in educating the whole human being. This study examines the impact of emotional intelligence on the first year students’ communicative competence. The author of this article created a training program entitled ‘Activities for Developing Emotional Intelligence in SLA…
Replicating Experiments in “Detour Behavior” with Artificially Evolved Robots: An A-Life Approach to Comparative Psychology
1999
To be useful in psychology "artificial organisms" have to perform tasks comparable to those performed by animals. One way to achieve this is to rephcate actual animal experiments. Here we reproduce an experiment showing "detour behavior" in chicks - a behavior usually explained in terms of "cognitive maps" or other forms of internal representation. We artificially evolve software-simulated robots with a "generic" ability to detour. Sensor-motor physics are carefully calibrated with data from a physical robot. Robot architecture is constrained to exclude internal representation. The evolutionary process rewards exploratory skills as well as detour behavior. Robot performance matches the resu…
Verbal coping of coaches in competition: Differences depending on emotional intelligence and self-determined motivation
2021
In this study we analysed the differences in verbal behaviour of coaches during matches. A total of 9739 verbal behaviours issued by 26 male handball coaches in 26 matches, 1 for each coach, were classified into the categories established by the Coach Analysis and Intervention System (CAIS). These behaviours in turn were grouped according to the type of coping expressed by the coach (task-oriented, emotional positive and emotional negative). Coaches were then classified into high or low emotional intelligence, and high or low self-determined motivation, using the mean of these scores. Differences in verbal behaviour percentages were analysed by Chi-square based on coach membership in group…
Market Must Be Defended: The Role of Counter-Espionage Policy in Maximizing Domestic Market Welfare
2020
Countering economic espionage is becoming one of the priorities of the governments of advanced economies. The present paper takes a step forward in the theoretical analysis of the interaction between economic espionage and counter-espionage by focusing on the case of a market opened to international trade. This analysis represents a first approximation to an inquiry into the rationale for the influence of the market level of competition on the dynamics of such interaction. The results suggest that this influence is complex in the case of the effort exerted in economic espionage and the characteristics of market demand play an important role in it. In the case of the counter-espionage policy…
Identifying individuality and variability in team tactics by means of statistical shape analysis and multilayer perceptrons.
2012
Abstract Offensive and defensive systems of play represent important aspects of team sports. They include the players’ positions at certain situations during a match, i.e., when players have to be on specific positions on the court. Patterns of play emerge based on the formations of the players on the court. Recognition of these patterns is important to react adequately and to adjust own strategies to the opponent. Furthermore, the ability to apply variable patterns of play seems to be promising since they make it harder for the opponent to adjust. The purpose of this study is to identify different team tactical patterns in volleyball and to analyze differences in variability. Overall 120 s…
Predictive and Evolutive Cross-Referencing for Web Textual Sources
2017
International audience; One of the main challenges in the domain of competitive intelligence is to harness important volumes of information from the web, and extract the most valuable pieces of information. As the amount of information available on the web grows rapidly and is very heterogeneous, this process becomes overwhelming for experts. To leverage this challenge, this paper presents a vision for a novel process that performs cross-referencing at web scale. This process uses a focused crawler and a semantic-based classifier to cross-reference textual items without expert intervention, based on Big Data and Semantic Web technologies. The system is described thoroughly, and interests of…
Learning with belief levels
2008
AbstractWe study learning of predicate logics formulas from “elementary facts,” i.e. from the values of the predicates in the given model. Several models of learning are considered, but most of our attention is paid to learning with belief levels. We propose an axiom system which describes what we consider to be a human scientist's natural behavior when trying to explore these elementary facts. It is proved that no such system can be complete. However we believe that our axiom system is “practically” complete. Theorems presented in the paper in some sense confirm our hypothesis.
Voxel-based General Voronoi Diagram for Complex Data with Application on Motion Planning
2020
One major challenge in Assembly Sequence Planning (ASP) for complex real-world CAD-scenarios is to find appropriate disassembly paths for all assembled parts. Such a path places demands on its length and clearance. In the past, it became apparent that planning the disassembly path based on the (approximate) General Voronoi Diagram (GVD) is a good approach to achieve these requirements. But for complex real-world data, every known solution for computing the GVD is either too slow or very memory consuming, even if only approximating the GVD.We present a new approach for computing the approximate GVD and demonstrate its practicability using a representative vehicle data set. We can calculate a…
Incremental Generalized Discriminative Common Vectors for Image Classification.
2015
Subspace-based methods have become popular due to their ability to appropriately represent complex data in such a way that both dimensionality is reduced and discriminativeness is enhanced. Several recent works have concentrated on the discriminative common vector (DCV) method and other closely related algorithms also based on the concept of null space. In this paper, we present a generalized incremental formulation of the DCV methods, which allows the update of a given model by considering the addition of new examples even from unseen classes. Having efficient incremental formulations of well-behaved batch algorithms allows us to conveniently adapt previously trained classifiers without th…