Search results for "PIM"

Cloning and training collective intelligence with generative adversarial networks

2021

Industry 4.0 and highly automated critical infrastructure can be seen as cyber‐physical‐social systems controlled by the Collective Intelligence. Such systems are essential for the functioning of the society and economy. On one hand, they have flexible infrastructure of heterogeneous systems and assets. On the other hand, they are social systems, which include collaborating humans and artificial decision makers. Such (human plus machine) resources must be pre‐trained to perform their mission with high efficiency. Both human and machine learning approaches must be bridged to enable such training. The importance of these systems requires the anticipation of the potential and previously unknow…

Systems thinking and adult cognitive development

2020

This chapter explores the links between scientific systems approaches and adult cognitive development. First, it describes the premises and basic concepts of systems thinking. It then continues to give an overview of the history of systems approach and the development of the main models and theories from its roots, which lie in the natural sciences. This is followed by an examination of the three systems paradigms, namely, Closed Systems, Open Systems, and Dynamic Systems and their implications to research and operational interests, in addition to their explanatory power in today’s world. Second part of the chapter focuses on describing the intersections between the Dynamic Systems paradigm…

University Students´ Knowledge Construction during Face to Face Collaborative Writing

2014

Collaborative writing combines social processes of writing with cognitive knowledge construction processes, and thus may lead to deeper learning than individual working. This study examined students’ knowledge construction during face-to-face collaborative writing. University students (n = 21) prepared themselves for the collaborative task by reading about developmental theories in a course book and writing individual summaries of them. In small groups, the students discussed each others’ summaries and wrote a joint essay on one of the theories. The data comprise the students’ individual summaries (n = 21), the students’ discussions during the essay writing (8177 speech turns), and the stud…

Collegamento negoziale e inadempimento del fornitore: la nuova disciplina del credito al consumo alla luce di una recente giurisprudenza comunitaria

2011

Transformative Teaching and Learning Through Engaged Practice : Lecturers’ and Students’ Experiences in a University and Underserved Community Partne…

2018

peer-reviewed The Community Wellness, Empowerment, Leadership and Lifeskills (CWell) program is a two-year community-driven program developed in partnership between an underserved-community in Limerick City, and staff at the University of Limerick (UL), Ireland. This paper explores the transformative teaching and learning experiences that arose throughout the duration of the progam for the lecturers and students. Data were collected through interviews and focus groups with lecturers and students involved in the program. Students supported the notion of “learning differently” and focused around prior learning and attitude to learning, learning about learning and impact of learning. Lecturers…

From Deep Learning to Deep University: Cognitive Development of Intelligent Systems

2018

Search is not only an instrument to find intended information. Ability to search is a basic cognitive skill helping people to explore the world. It is largely based on personal intuition and creativity. However, due to the emerged big data challenge, people require new forms of training to develop or improve this ability. Current developments within Cognitive Computing and Deep Learning enable artificial systems to learn and gain human-like cognitive abilities. This means that the skill how to search efficiently and creatively within huge data spaces becomes one of the most important ones for the cognitive systems aiming at autonomy. This skill cannot be pre-programmed, it requires learning…

Pain fingerprinting using multimodal sensing: pilot study

2021

Abstract Pain is a complex phenomenon, the experience of which varies widely across individuals. At worst, chronic pain can lead to anxiety and depression. Cost-effective strategies are urgently needed to improve the treatment of pain, and thus we propose a novel home-based pain measurement system for the longitudinal monitoring of pain experience and variation in different patients with chronic low back pain. The autonomous nervous system and audio-visual features are analyzed from heart rate signals, voice characteristics and facial expressions using a unique measurement protocol. Self-reporting is utilized for the follow-up of changes in pain intensity, induced by well-designed physical …

Technological, Organisational and Socio-Interactional Affordances in Simulation-Based Collaborative Learning

2021

Analysis of the applicability of a learning technology requires an evaluation of how the affordances of the learning environment respond to users’ needs. We examine affordances in a simulation-based collaborative learning environment from the learners’ viewpoint. Our analysis focuses on three types of affordances: technological, organisational and socio-interactional. The findings show how teams of learners employ the different types of affordances in their collaborative tasks. In addition, our analysis illustrates the interdependent and interlinked nature of the affordances. We offer an analytical understanding of the dynamics among different kinds of affordances and show how they can be a…

Detection of developmental dyslexia with machine learning using eye movement data

2021

Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals’ aspirations if not detected and treated early. Instead of costly diagnostic assessment made by experts, in the near future dyslexia might be identified with ease by automated analysis of eye movements during reading provided by embedded eye tracking technology. However, the diagnostic machine learning methods need to be optimized first. Previous studies with machine learning have been quite successful in identifying dyslexic readers, however, using contrasting groups with large performance differences between diagnosed and good readers. A practical challenge is to identify also individuals with bord…

Combining conjunctive rule extraction with diffusion maps for network intrusion detection

2013

Network security and intrusion detection are important in the modern world where communication happens via information networks. Traditional signature-based intrusion detection methods cannot find previously unknown attacks. On the other hand, algorithms used for anomaly detection often have black box qualities that are difficult to understand for people who are not algorithm experts. Rule extraction methods create interpretable rule sets that act as classifiers. They have mostly been combined with already labeled data sets. This paper aims to combine unsupervised anomaly detection with rule extraction techniques to create an online anomaly detection framework. Unsupervised anomaly detectio…