1,720,967 research outputs found
From programming agents to Educating agents – A jason-based framework for integrating learning in the development of cognitive agents
No full textRecent advances and successes of machine learning techniques are paving the way to what is referred as Software 2.0 era and cognitive computing, in which traditional programming and software development is meant to be replaced by such techniques for many applications. If we consider agent-oriented programming, we believe that such developments trigger new interesting scenarios blending cognitive architecture such as the BDI one and techniques like Reinforcement Learning (RL) even more deeply compared to what has been proposed so far in the literature. In that perspective, we aim at exploring the integration of cognitive agent-oriented programming based on BDI with learning techniques so as to systematically exploit them in the agent development stage. The approach should support the design of BDI agents in which some plans can be explicitly programmed and others instead can be learned by the agent during the development/engineering stage. In that view, the development of an agent is metaphorically similar to an education process, in which first an agent is created with a set of basic programmed plans and then grow up in order to learn plans to achieve the goals for which the agent is meant to be designed. This paper presents and discusses this medium-term view, introducing a first model for a BDI agent programming framework integrating RL, a first implementation based on Jason programming language/platform and sketching a roadmap for this research line
Invecchiamento del sistema cardiovascolare
No full textL’età è un fattore di rischio indipendente per patologie cardiovascolari. L’elevata prevalenza di patologie quali ipertensione arteriosa, cardiopatia ischemica e scompenso cardiaco potrebbe essere determinata sia da un processo intrinseco di invecchiamento dell’apparato cardiovascolare che comporta una riduzione della riserva funzionale degli organi che lo compongono, che da una più lunga esposizione ad altri fattori di rischio
On exploiting Gamification for the Crowdsensing of Air Pollution: A Case Study on a Bicycle-based System
No full textCities all over the world struggle with air pollution. With the ever-increasing concentration of people in urban areas, more and more people suffer from the negative effects of air pollutants. Crowdsensing systems are a unique chance to increase the users' awareness of this problem and to provide more fine-grained data to policymakers so that they can adopt appropriate strategies. In this paper, we present a crowdsensing system to collect air pollution in urban and suburban environments through the use of bicycles. It consists of a Web application, enriched with gamification elements, that communicates with a portable low-cost sensor. The user interface of such a system, as well as the adopted gamification mechanisms, has been designed by involving a group of target users, with the aim of better meeting users' preferences and needs, and, then, better engaging them
Aspetti clinici e medico legali delle piaghe da decubito e presentazione di un caso giunto all'attenzione peritale
No full textRobot drivers: Learning to drive by trial & error
No full textAutonomous cars have been in the making for over 15 years. Skepticism has taken the place of initial hype and enthusiasm. Current autonomous driving systems give no guarantee of 100% correctness and reliability, and users are not willing to take a chance on a car that is unable to cope with all the possible driving scenarios. Robotic drivers are expected to be perfect. Major players such as Tesla and Waymo rely on highly detailed maps and very large sensor data in a race to build the ultimate robotic driver to cope with all possible driving scenarios. This approach optimizes for safety but delays the dream of fully autonomous cars. In this paper we consider robot-drivers as teen-drivers eager to learn how to drive but prone to mistakes in the beginning. The question we are trying to investigate is 'what if we allow autonomous cars to make mistakes like young human drives do?' In this paper, we explore reinforcement learning for small size autonomous vehicles fusing information from several sensors including a camera, color sensors, and sonar sensors. The robot-drivers have initially no information about the driving scenarios they learn with experience through a mechanism of rewards designed to quickly help our robot-teen to learn its driving skills
To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders
Full text linkElectric vehicles (EVs) are spreading fast as they promise to provide better performance and comfort, but above all, to help face climate change. Despite their success, their cost is still a challenge. Lithium-ion batteries are one of the most expensive EV components, and have become the standard for energy storage in various applications. Precisely estimating the remaining useful life (RUL) of battery packs can encourage their reuse and thus help to reduce the cost of EVs and improve sustainability. A correct RUL estimation can be used to quantify the residual market value of the battery pack. The customer can then decide to sell the battery when it still has a value, i.e., before it exceeds the end of life of the target application, so it can still be reused in a second domain without compromising safety and reliability. This paper proposes and compares two deep learning approaches to estimate the RUL of Li-ion batteries: LSTM and autoencoders vs. CNN and autoencoders. The autoencoders are used to extract useful features, while the subsequent network is then used to estimate the RUL. Compared to what has been proposed so far in the literature, we employ measures to ensure the method’s applicability in the actual deployed application. Such measures include (1) avoiding using non-measurable variables as input, (2) employing appropriate datasets with wide variability and different conditions, and (3) predicting the remaining ampere-hours instead of the number of cycles. The results show that the proposed methods can generalize on datasets consisting of numerous batteries with high variance
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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