Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia

International audienceOne of the major challenges of Applied Artificial Intelligence is to provide environments where high level human activities like learning, constructing theories or performing experiments, are enhanced by Artificial Intelligence technologies. This paper starts with the description of an ambitious project: EnCOrE2. The specific real world EnCOrE scenario, significantly representing a much wider class of potential applicative contexts, is dedicated to the building of an Encyclopedia of Organic Chemistry in the context of Virtual Communities of experts and students. Its description is followed by a brief survey of some major AI questions and propositions in relation with the problems raised by the EnCOrE project. The third part of the paper starts with some definitions of a set of “primitives” for rational actions, and then integrates them in a unified conceptual framework for the interactive construction of knowledge. To end with, we sketch out protocols aimed at guiding both the collaborative construction process and the collaborative learning process in the EnCOrE project.The current major result is the emerging conceptual model supporting interaction between human agents and AI tools integrated in Grid services within a socio-constructivist approach, consisting of cycles of deductions, inductions and abductions upon facts (the shared reality) and concepts (their subjective interpretation) submitted to negotiations, and finally converging to a socially validated consensus

Preference Dissemination by Sharing Viewpoints: Simulating Serendipity

IC3K 2015 will be held in conjunction with IJCCI 2015International audienceThe Web currently stores two types of content. These contents include linked data from the semantic Web and user contributions from the social Web. Our aim is to represent simplified aspects of these contents within a unified topological model and to harvest the benefits of integrating both content types in order to prompt collective learning and knowledge discovery. In particular, we wish to capture the phenomenon of Serendipity (i.e., incidental learning) using a subjective knowledge representation formalism, in which several " viewpoints " are individually interpretable from a knowledge graph. We prove our own Viewpoints approach by evidencing the collective learning capacity enabled by our approach. To that effect, we build a simulation that disseminates knowledge with linked data and user contributions, similar to the way the Web is formed. Using a behavioral model configured to represent various Web navigation strategies, we seek to optimize the distribution of preference systems. Our results outline the most appropriate strategies for incidental learning, bringing us closer to understanding and modeling the processes involved in Serendipity. An implementation of the Viewpoints formalism kernel is available. The underlying Viewpoints model allows us to abstract and generalize our current proof of concept for the indexing of any type of data set

A contradiction-driven approach to theory formation : conceptual issues, pragmatics in human learning, potentialities

In Educational literature, Discovery Learning appears as an approach in which the learner builds up his/her own knowledge by performing experiments within a domain and inferring/increasing rules as a result. Such a constructivist approach has been largely exploited in the design of computational artefacts with learning purposes, the so-called Discovery Learning Environments (DLEs). One known feature of such environments is the autonomy degree required for students to succeed while handling a domain. Additionally, DLEs designers are often challenged to get students actually engaged. Such questions are on the basis of our concerns with the design and usage of particular DLEs, within which learning events occur as a consequence of contradiction detection and overcoming, during human/machine cooperative work. In this paper, we present an artificial agent capable of handling such a contradiction-driven approach of learning, by highlighting the exchanges that the agent should promote with a human learner. The conceptual model supporting the agent’s design relies on the scientific rationale, particularly the empirical approach guided by the theory-experiment confrontation. We shall reinforce the interest of the model for the design of DLEs by presenting its exploitation in a real learning situation in Law. Also, we suggest potential instantiations of the model elsewhere than in Human Learning

Construction et évolution de connaissances par confrontation de points de vue : prototype pour la recherche d'information scientifique

Avec le Web 2.0, les utilisateurs, devenus contributeurs, ont pris une place centrale dans les processus de consommation et de production de connaissances ; cependant la paternité des contributions est souvent perdue lors de l'indexation de l'information. Viewpoints est un formalisme de représentation des connaissances centré sur le point de vue individuel, humain ou artificiel. Nous considérons trois types d'objets de connaissance : les documents (supports), les agents (émetteurs) et les topics (descripteurs). Un viewpoint émis par un agent exprime son opinion sur la proximité entre deux objets. Les viewpoints permettent de définir et de calculer une distance entre objets qui évolue au fil des interactions (requêtes et retours d'utilisation) et de l'ajout de nouveaux viewpoints. Un prototype de moteur de recherche pour des données de publications scientifiques tirées de HAL-LIRMM montre comment Viewpoints peut faire émerger, de façon transparente, une intelligence collective à partir des interactions des utilisateurs contributeurs. (Résumé d'auteur

Semi-Supervised Variational Autoencoder for Survival Prediction

In this paper we propose a semi-supervised variational autoencoder for classification of overall survival groups from tumor segmentation masks. The model can use the output of any tumor segmentation algorithm, removing all assumptions on the scanning platform and the specific type of pulse sequences used, thereby increasing its generalization properties. Due to its semi-supervised nature, the method can learn to classify survival time by using a relatively small number of labeled subjects. We validate our model on the publicly available dataset from the Multimodal Brain Tumor Segmentation Challenge (BraTS) 2019.Comment: Published in the pre-conference proceeding of "2019 International MICCAI BraTS Challenge

Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks

This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of a more complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision systems in both far-infrared and daylight domains. The first module detects the presence of a human shape in a list of areas of attention using active contours to detect the object shape and evaluating the results by means of a neural network. The second validation subsystem directly exploits a neural network for each area of attention in the far-infrared images and produces a list of votes

Mindfulness-based stress reduction in patients with interstitial lung diseases: a pilot, single-centre observational study on safety and efficacy

open11siBackground Chronic, progressive respiratory symptoms are associated with great psychological and emotional impact in patients suffering from interstitial lung disease (ILD). This single-centre pilot study evaluated for the first time the safety, feasibility and efficacy of a Mindfulness Based Stress Reduction Program (MBSR) in a group of patients with ILD. Methods Prospective observational study set in a university hospital ILD outpatient clinic. Nineteen patients with different ILDs were recruited 2 months prior to the start of the 8-week MBSR program and followed up for 12 months. Primary outcomes were program safety and feasibility, while secondary outcomes were changes in moods and stress (assessed by Profile Of Mood State (POMS) and Perceived Stress Scale (PSS) questionnaires), symptoms (Shortness Of Breath (SOB) and Cough And Sputum Assessment (CASA-Q) questionnaires), lung function and exercise tolerance at 12 months. Results Two patients (10.5%) dropped out in the observational period before the start of the MBSR intervention because of non-respiratory causes. All 17 patients who entered the 8-week MBSR program managed to complete it with an adherence average of eight sessions of nine. No adverse events related to the mindfulness training were reported. Statistically significant improvements in the POMS total score and in several individual items of POMS and PSS were observed throughout the study. However, respiratory questionnaire scores, lung function and exercise tolerance did not show a significant difference over time. Conclusions An MBSR program appears to be safe and feasible in patients with ILD, and might affect perceived moods and stress producing a positive and lasting improvement in several stress-related negative domains. These findings pave the way to larger (possibly multicentre), randomised, controlled confirmatory trials.openSgalla, Giacomo; Cerri, Stefania; Ferrari, Roberto; Ricchieri, Maria Pia; Poletti, Stefano; Ori, Margherita; Garuti, Martina; Montanari, Gloria; Luppi, Fabrizio; Petropulacos, Kyriakoula; Richeldi, LucaSgalla, Giacomo; Cerri, Stefania; Ferrari, Roberto; Ricchieri, Maria Pia; Poletti, Stefano; Ori, Margherita; Garuti, Martina; Montanari, Gloria; Luppi, Fabrizio; Petropulacos, Kyriakoula; Richeldi, Luc

Localization and analysis of critical areas in urban scenarios

This paper presents an application of a pedestrian detection system aimed at localizing potentially dangerous situations in specific urban scenarios. The approach used in this work differs from the one implemented in traditional pedestrian detection systems, which are designed to localize all pedestrians appearing in the area in front of the vehicle. This application first locates critical areas in the urban environment, and then it searches for pedestrians in these areas only. The environment is reconstructed with a standard laser scanner system, while the following check for the presence of pedestrians is performed thanks to the fusion with a vision system. The great advantages of such an approach are that pedestrian recognition is performed on a very limited image area -therefore boosting its timing performance- and no assessment on the danger level is finally required before providing the result to either the driver or an on-board computer for automatic manoeuvres

Negotiating the Web Science Curriculum through Shared Educational Artefacts

EXTENDED ABSTRACT The far-reaching impact of Web on society is widely recognised and acknowledged. The interdisciplinary study of this impact has crystallised in the field of study known as Web Science. However, defining an agreed, shared understanding of what constitutes Web Science requires complex negotiation and translations of understandings across component disciplines, national cultures and educational traditions. Some individual institutions have already established particular curricula, and discussions in the Web Science Curriculum Workshop series have marked the territory to some extent. This paper reports on a process being adopted across a consortium of partners to systematically create a shared understanding of what constitutes Web Science. It records and critiques the processes instantiated to agree a common curriculum, and presents a framework for future discussion and development. The need to study the Web in its complexity, development and impact led to the creation of Web Science. Web Science is inherently interdisciplinary. Its goal is to: a) understand the Web growth mechanisms; b) create approaches that allow new powerful and more beneficial mechanisms to occur. Teaching Web Science is a unique experience since the emerging discipline is a combination of two essential features. On one hand, the analysis of microscopic laws extrapolated to the macroscopic realm generates observed behaviour. On the other hand languages and algorithms on the Web are built in order to produce novel desired computer behaviour that should be put in context. Finding a suitable curriculum that is different from the study of language, algorithms, interaction patterns and business processes is thus an important and challenging task for the simple reason that we believe that the future of sociotechnical systems will be in their innovative power (inventing new ways to solve problems), rather than their capacity to optimize current practices. The Web Science Curriculum Development (WSCD) Project focuses European expertise in this interdisciplinary endeavour with the ultimate aim of designing a joint masters program for Web Science between the partner universities. The process of curriculum definition is being addressed using a negotiation process which mirrors the web science and engineering approach described by Berners-Lee (figure 1 below). The process starts on the engineering side (right). From the technical design point of view the consortium is creating an open repository of shared educational artefacts using EdShare [1] (based on EPrints) to collect or reference the whole range of educational resources being used in our various programmes. Socially, these resources will be annotated against a curriculum categorization [2] which in itself is subject to negotiation and change, currently via a wiki. This last process is represented by complexity and collaboration at the bottom of the diagram. The resources necessarily extend beyond artefacts used in the lecture and seminar room encompassing artefacts associated with the administrative and organisational processes which are necessary to assure the comparability of the educational resources and underwrite the quality standards of the associated awards. Figure 1: Web Science and Engineering Approach (e.g. See http://www.w3.org/2007/Talks/0314-soton-tbl/#%2811%29) From the social point of view the contributions will be discussed and peer reviewed by members of the consortium. Our intention is that by sharing the individual components of the teaching and educational process and quality assuring them by peer review we will provide concrete examples of our understanding of the discipline. However, as Berners-Lee observes, it is in the move from the micro to the macro that the magic (complexity) is involved. The challenge for our consortium, once our community repository is adequately populated, is to involve the wider community in the contribution, discussion and annotation that will lead to the evolution of a negotiated and agreed but evolving curriculum for Web Science. Others have worked on using community approaches to developing curriculum. For example, in the Computer Science community there is a repository of existing syllabi [3] that enables designers of new courses to understand how others have approached the problem, and the Information Science community is using a wiki [4] to enable the whole community to contribute to the dynamic development of the curriculum. What makes this project unique is that rather than taking a top down structured approach to curriculum definition it takes a bottom up approach, using the actual teaching materials as the basis on which to iteratively negotiate and refine the definition of the curriculum