Search results for "intelligence"
showing 10 items of 6959 documents
Szkoła - w stronę wielozmysłowego i wielointeligentnego poznawania świata
2019
Artykuł dotyczy teorii inteligencji wielorakich a także kompetencji zawodowych współczesnego nauczyciela jest interdyscyplinarnym ujęciem zagadnienia z pogranicza - : psychologii, neurobiologii – a umiejscowionych kontekstach współczesnej pedagogiki. Teoria o istnieniu wielu niezależnych od siebie inteligencji Howarda Gardnera kwestionująca traktowanie inteligencji jako „jednolitej konstrukcji” jest bazą wyjściową do deliberacji nad osobniczymi predylekcjami sensorycznymi ucznia. Zdobyta wiedza takiej proweniencji pozwala nauczycielowi na bardziej kreatywną interakcje edukacją i wychowawczą z uczniem
Discriminating and simulating actions with the associative self-organising map
2015
We propose a system able to represent others’ actions as well as to internally simulate their likely continuation from a partial observation. The approach presented here is the first step towards a more ambitious goal of endowing an artificial agent with the ability to recognise and predict others’ intentions. Our approach is based on the associative self-organising map, a variant of the self-organising map capable of learning to associate its activity with different inputs over time, where inputs are processed observations of others’ actions. We have evaluated our system in two different experimental scenarios obtaining promising results: the system demonstrated an ability to learn discrim…
Emocionālā intelekta dažādu konstruktu salīdzināšana
2015
Pētījuma mērķis ir savstarpēji salīdzināt Saloveja un Goldmena vispārīgo garastāvokļa iezīmju konstruktu un Šutes emocionālā intelekta konstruktu, un to mērījumu psihometriskos rādītājus. Pētījuma ietvaros tiek noskaidrots, kā saturiski un psihometriski atšķiras Saloveja un Goldmena vispārīgo garastāvokļa iezīmju konstrukts un Šutes emocionālā intelekta konstrukts, neskatoties uz to, ka abas aptaujas izmanto par pamatu vienu un to pašu emocionāla intelekta teoriju. Pētījuma dalībnieki ir studenti no dažādām Latvijas pilsētām – Rīgas (71%), Liepājas (22%), Ventspils (3%), Rēzeknes (3%), Jūrmalas (1%). Respondentu vecums ir no 18 līdz 33 gadiem (M = 22,9). Izlases apjoms ir 70 cilvēku, no tie…
A Robust Multi Stage Technique for Image Binarization of Degraded Historical Documents
2017
International audience; Document image binarization is a central problem in many document analysis systems. Indeed, it represents one of the basic challenges, especially in case of historical documents analysis. In this paper, we propose a novel robust multi stage framework that combines different existing document image thresholding methods for the purpose of getting a better binarization result. CLAHE technique is introduced to significantly enhance contrast in some poor images. The proposed method then uses a hybrid algorithm to partition image into foreground and background. A special procedure is finally applied in order to remove small noise and correct characters morphology. Experime…
Construction of quality indicators based on pre-established goals: application to a colombian public university
2020
This study creates indicators of adequacy and excellence based on multiple-criteria decision-making (MCDM) methods and fuzzy logic. The calculation of indicators presents two main difficulties: The nature of the data (numerical, interval, and linguistic values are mixed) and the objective of each criterion (which does not have to reach either the maximum or the minimum). A method is proposed, based on similarity measures with predetermined ideals, that is capable of overcoming these difficulties to provide easy-to-interpret information about the quality of the alternatives. To illustrate the usefulness of this proposed method, it has been applied to data collected from students across nine …
An Observation Framework for Multi-Agent Systems
2009
Existing middleware platforms for multi-agent systems (MAS) do not provide general support for observation. On the other hand, observation is considered to be an important mechanism needed for realizing effective and efficient coordination of agents. This paper describes a framework called Agent Observable Environment (AOE) for observation-based interaction in MAS. The framework provides 1) possibility to model MAS components with RDFbased observable soft-bodies, 2) support for both query and publish/subscribe style ontology-driven observation, and 3) ability to restrict the visibility of observable information using observation rules. Additionally, we report on an implementation of the fra…
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
2021
Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…
Skills Behind the Robotics : How to Re-educate Workers for the Future
2019
The aim of this study is to respond to the educational needs of the future, considering automation and robotics. It is inevitable that automation and robotics are changing our lives and they create challenges for the future work life and education. In this study, we investigate what is the educational background of the unemployed people who are in danger of being replaced by automation and what is their educational resilience for adapting work life changes. The data of this study consist of the latest PIAAC data (The Programme for the International Assessment of Adult Competencies). Based on the research we develop a model for re-educating the people who have lost their jobs. peerReviewed
Super-Resolution Images Methodology Applied to UAV Datasets to Road Pavement Monitoring
2022
The increasingly widespread use of smartphones as real cameras on drones has allowed an ever-greater development of several algorithms to improve the image’s refinement. Although the latest generations of drone cameras let the user achieve high resolution images, the large number of pixels to be processed and the acquisitions from multiple lengths for stereo-view often fail to guarantee satisfactory results. In particular, high flight altitudes strongly impact the accuracy, and result in images which are undefined or blurry. This is not acceptable in the field of road pavement monitoring. In that case, the conventional algorithms used for the image resolution conversion, such as the bilinea…
Le paysage, de l'information à l'élaboration d'une culture paysagère : vers des médiations paysagères au service des acteurs de l'aménagement du terr…
2005
Landscape is shaped by a community of people who do not necessarily share the same intentions and/or expectations towards landscape. Thus, the representations of the people involved (planners, decisions makers, users) influence the way landscape is being taken into consideration in the field of town-and-country-planning. The multiple representations hinder communication while projects are being discussed, yet the interlocutors are bound to come to a general agreement to guarantee an negociated-and-shared achievement. On the other hand, the minimal education about landscape is necessary to apprehend the landscaped problematics of the concerned areas; nevertheless, people usually miss the poi…