Search results for "artificial intelligence"
showing 10 items of 6122 documents
Strategien bei Problemen mit rekursiver Lösung
1989
Recursion is not only a means for describing mathematical concepts, it is also an important problem solving tool in both mathematics and computer sciences. Recursion is the object of interest in our research project. In this article, we are going to report on an investigation aiming at the identification of strategies 7th and 8th graders use while coping with the recursive TOWER OFHANOI problem. Our hypothesis is that there are preliminary concepts for the concept of recursion which may vary for different students. We will describe some preliminary concepts in this paper.
Graph recursive least squares filter for topology inference in causal data processes
2017
In this paper, we introduce the concept of recursive least squares graph filters for online topology inference in data networks that are modelled as Causal Graph Processes (CGP). A Causal Graph Process (CGP) is an auto regressive process in the time series associated to different variables, and whose coefficients are the so-called graph filters, which are matrix polynomials with different orders of the graph adjacency matrix. Given the time series of data at different variables, the goal is to estimate these graph filters, hence the associated underlying adjacency matrix. Previously proposed algorithms have focused on a batch approach, assuming implicitly stationarity of the CGP. We propose…
A Deep Reinforcement Learning scheme for Battery Energy Management
2020
Deep reinforcement learning is considered promising for many energy cost optimization tasks in smart buildings. How-ever, agent learning, in this context, is sometimes unstable and unpredictable, especially when the environments are complex. In this paper, we examine deep Reinforcement Learning (RL) algorithms developed for game play applied to a battery control task with an energy cost optimization objective. We explore how agent behavior and hyperparameters can be analyzed in a simplified environment with the goal of modifying the algorithms for increased stability. Our modified Deep Deterministic Policy Gradient (DDPG) agent is able to perform consistently close to the optimum over multi…
2017
The present study is a first attempt to experimentally test the impact of two specific social factors, namely social conformity pressure and a sense of being watched, on participants' judgments of the artistic quality of aesthetic objects. We manipulated conformity pressure with a test form in which a photograph of each stimulus was presented together with unanimously low (downward pressure) or high quality ratings (upward pressure) of three would-be previous raters. Participants' sense of being watched was manipulated by testing each of them in two settings, one of which contained an eyespots stimulus. Both social factors significantly affected the participants' judgments-unexpectedly, how…
Tetrolet-based reduced reference image quality assessment approach
2014
In this paper, we propose a new reduced reference image quality assessment (RRIQA) scheme. For this purpose, we use a statistical-based method in a new adaptive Haar wavelet transform domain, called Tetrolet. Firstly, we decompose the reference and distorted images and we obtain the Tetrolet coefficients for each image. Secondly, we use a marginal Generalized Gaussian Density (GGD) to model each subband coefficients. Finally, the distortion measure is computed using the Kullback Leibler Divergence (KLD) between GGD Probability density function (PDFs). Experimental results show the efficiency of the proposed method when comparing to those reported in the literature.
Towards a Modelization of the elusive Concept of Wisdom using Fuzzy Techniques
2012
After having been a term of reflection in philosophy as well as psychology for ages, the fascination with human wisdom finally reaches the realms of computer science. In comparison to the first philosophical definition attempts, that date back to Aristotle (384 BC – 322BC), the efforts in information science during the late 1980s seem quite recent. Nevertheless have there been astonishing new insights provided by cognitive science since those first formal modelizations were designed – findings that strongly suggest a reconsideration of our current formalization of wisdom in the computer science domain. We suggest to establish a new, integrated view on the concept of wisdom, using the insigh…
When Economics Meets Arts… in the Classroom
2016
Abstract The aim of this paper is to examine the opportunities for the use of art as an educational resource to stimulate creativity in the teaching of Economics. The need to promote skill development to encourage reflection, critical analysis, imagination, interpretation of reality, the anticipation of change, the seeking of alternatives, etc. is essential in this area of knowledge. The analysis of the use of art as an educational tool through a classroom experience shows the opportunities offered by this approach, although the extent of its use in university education in non-artistic materials is still very low.
A new multimodal RGB and polarimetric image dataset for road scenes analysis
2020
International audience; Road scene analysis is a fundamental task for both autonomous vehicles and ADAS systems. Nowadays, one can find autonomous vehicles that are able to properly detect objects present in the scene in good weather conditions but some improvements are left to be done when the visibility is altered. People claim that using some non conventional sensors (infra-red, Lidar, etc.) along with classical vision enhances road scene analysis but still when conditions are optimal. In this work, we present the improvements achieved using polarimetric imaging in the complex situation of adverse weather conditions. This rich modality is known for its ability to describe an object not o…
Smartphone viewing distance during active or passive tasks and relation to heterophoria
2019
Our aim was to analyze viewing distance for smartphone users (aged 18-45 y.) in terms of passive or active task, relation to heterophoria, type of refractive error and smartphone font size. Participants were asked to read out loud text message (passive task) and afterwards rewrite the same text and send back (active task). For the text message we used sentence consisting of 23 words and 200 characters (with spaces). Participants used their own smartphones (font size monitored). For both passive and active task we measured task time and viewing distance at the end of the task. We found significantly shorter viewing distance for digital active task compared to passive task (29.3 ± 4.7 and 32.…
Corpus Analysis and Register Variation: a field in need of an update
2013
Abstract This study reviews the development of research on register variation (RV) over the last century to the present, emphasizing the influence of corpus analyses on its greatest advances and also on its major weaknesses and ambiguities. In search of practical and useful methods to analyse language registers, in the second part of the paper, the authors sketch a different approach to RV which has been used over the last ten years in language teaching at university level and professional communication training.