7,251 research outputs found
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence
No full textIEEE Access
Volume 3, 2015, Article number 7217798, Pages 1512-1530
Open Access
Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence (Article)
Zorzi, M.a , Zanella, A.a, Testolin, A.b, De Filippo De Grazia, M.b, Zorzi, M.bc
a Department of Information Engineering, University of Padua, Padua, Italy
b Department of General Psychology, University of Padua, Padua, Italy
c IRCCS San Camillo Foundation, Venice-Lido, Italy
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Abstract
In response to the new challenges in the design and operation of communication networks, and taking inspiration from how living beings deal with complexity and scalability, in this paper we introduce an innovative system concept called COgnition-BAsed NETworkS (COBANETS). The proposed approach develops around the systematic application of advanced machine learning techniques and, in particular, unsupervised deep learning and probabilistic generative models for system-wide learning, modeling, optimization, and data representation. Moreover, in COBANETS, we propose to combine this learning architecture with the emerging network virtualization paradigms, which make it possible to actuate automatic optimization and reconfiguration strategies at the system level, thus fully unleashing the potential of the learning approach. Compared with the past and current research efforts in this area, the technical approach outlined in this paper is deeply interdisciplinary and more comprehensive, calling for the synergic combination of expertise of computer scientists, communications and networking engineers, and cognitive scientists, with the ultimate aim of breaking new ground through a profound rethinking of how the modern understanding of cognition can be used in the management and optimization of telecommunication network
sj-pdf-1-dcm-10.1177_17504813231185861 – Supplemental material for Public communication of technoscience in the news: A cross-linguistic Multidimensional analysis of English and Italian newspapers
No full textSupplemental material, sj-pdf-1-dcm-10.1177_17504813231185861 for Public communication of technoscience in the news: A cross-linguistic Multidimensional analysis of English and Italian newspapers by Virginia Zorzi, Federico Neresini and Alberto Cammozzo in Discourse & Communication</p
An emergentist perspective on the origin of number sense
No full textThe finding that human infants and many other animal species are sensitive to numerical quantity has been widely interpreted as evidence for evolved, biologically determined numerical capacities across unrelated species, thereby supporting a ‘nativist’ stance on the origin of number sense. Here, we tackle this issue within the ‘emergentist’ perspective provided by artificial neural network models, and we build on computer simulations to discuss two different approaches to think about the innateness of number sense. The first, illustrated by artificial life simulations, shows that numerical abilities can be supported by domain-specific representations emerging from evolutionary pressure. The second assumes that numerical representations need not be genetically pre-determined but can emerge from the interplay between innate architectural constraints and domain-general learning mechanisms, instantiated in deep learning simulations. We show that deep neural networks endowed with basic visuospatial processing exhibit a remarkable performance in numerosity discrimination before any experience-dependent learning, whereas unsupervised sensory experience with visual sets leads to subsequent improvement of number acuity and reduces the influence of continuous visual cues. The emergent neuronal code for numbers in the model includes both numerosity-sensitive (summation coding) and numerosity-selective response profiles, closely mirroring those found in monkey intraparietal neurons. We conclude that a form of innatism based on architectural and learning biases is a fruitful approach to understanding the origin and development of number sense.
This article is part of a discussion meeting issue ‘The origins of numerical abilities'.</jats:p
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions
No full textOn the coupling of Model Predictive Control and Robust Kalman Filtering
No full textModel predictive control (MPC) represents nowadays one of the main methods employed for process control in industry. Its strong suits comprise a simple algorithm based on a straightforward formulation and the flexibility to deal with constraints. On the other hand, it can be questioned its robustness regarding model uncertainties and external noises. Thus, a lot of efforts have been spent in the past years into the search of methods to address these shortcomings. In this study, the authors propose a robust MPC controller which stems from the idea of adding robustness in the prediction phase of the algorithm while leaving the core of MPC untouched. More precisely, they consider a robust Kalman filter that has been recently introduced and they further extend its usability to feedback control systems. Overall the proposed control algorithm allows to maintain all of the advantages of MPC with an additional improvement in performance and without any drawbacks in terms of computational complexity. To test the actual reliability of the algorithm, they apply it to control a servomechanism system characterised by non-linear dynamics.</p
[Poesia] Três poemas de Alberto Secama
No full textThree poems by Alberto Secama. About the author: Alberto Secama is an Angolan poet who has poems published on many websites and on facebook:https://www.facebook.com/Xungurra/abouthttp://www.pordentrodaafrica.com/cultura/africa-em-verso-rio-kwanza-por-alberto-secamahttp://www.pordentrodaafrica.com/cultura/africa-em-verso-zong-por-alberto-secamahttp://www.pordentrodaafrica.com/cultura/coluna-africa-em-verso-o-sol-la-fora-por-alberto-secamaTres poemas de Alberto Secama. Sobre el autor: Alberto Secama es un poeta angoleño que tiene poemas publicados en varios sitios y en el facebook:https://www.facebook.com/Xungurra/abouthttp://www.pordentrodaafrica.com/cultura/africa-em-verso-rio-kwanza-por-alberto-secamahttp://www.pordentrodaafrica.com/cultura/africa-em-verso-zong-por-alberto-secamahttp://www.pordentrodaafrica.com/cultura/coluna-africa-em-verso-o-sol-la-fora-por-alberto-secamaTrês poemas de Alberto Secama. Sobre o autor: Alberto Secama é um poeta angolano que possui poemas publicados em vários sites e no facebook:https://www.facebook.com/Xungurra/abouthttp://www.pordentrodaafrica.com/cultura/africa-em-verso-rio-kwanza-por-alberto-secamahttp://www.pordentrodaafrica.com/cultura/africa-em-verso-zong-por-alberto-secamahttp://www.pordentrodaafrica.com/cultura/coluna-africa-em-verso-o-sol-la-fora-por-alberto-secam
Modeling the performance of optical modems in the DESERT underwater network simulator
No full textWhile in the past decades only low rate acoustic modems were employed for underwater wireless communication, nowadays also high rate optical modems can be used for short range communication, up to a few hundred meters. A key ques- tion is what is the expected performance of a modem in a given scenario, in order to predict the coverage range of the system in a network deployment. In the literature, many models have been proposed, but each of them is limited to simulating a particular device or a limited set of scenarios. However, in the last decade, many sea evaluations of optical communications performance in different water conditions have been performed, and many datasets published and presented to the research community. In this paper we collect a database of performance figures of optical modems, including it in the DESERT Underwater network simulator. In addition, we simulate optical communication in a real scenario, thanks to the water measurements retrieved during the ALOMEX'15 NATO cruise
The importance of being "one" (or Benford's law)
No full textIn this article we give an informal presentation of the so-called Benford's law, a counterintuitive probability distribution that describes the frequency with which the first significant digits - that is, a digit between 1 and 9 - appear in sets of numbers associated with heterogeneous quantities. Unlike what might be expected, these frequencies are not equal but are decreasing, that is, 1 appears more often than 2, which appears more often than 3 and so on. After an introduction to the law, we will show how, perhaps unexpectedly, it is satisfied by the numbers generated by some sequences of powers. We will then illustrate some applications in the socio-economic field (for instance, to identify accounting or electoral fraud). Finally we will use it to analyse the tax returns of some former US presidential candidates
Letter perception emerges from unsupervised deep learning and recycling of natural image features
No full textL’importanza di essere "Uno" (Ovvero la legge di Benford)
No full textIn quest'articolo diamo un'informale presentazione della cosiddetta legge di Benford. Si tratta di una controintuitiva distribuzione di probabilità che descrive la frequenza con la quale compaiono le prime cifre signicative - quindi dall'1 al 9 - in insiemi di numeri associati a quantità eterogenee. A differenza di quanto ci si potrebbe attendere, tali frequenze non sono uguali fra loro ma sono decrescenti, cioè l'1 compare piu spesso del 2, che compare piu spesso del 3 e via dicendo. Dopo un'introduzione a questa legge, mostreremo come, forse inaspettatamente, essa sia soddisfatta dai numeri generati da alcune successioni di potenze, poi ne illustreremo qualche applicazione in ambito socio-economico (ad esempio per individuare frodi contabili o brogli elettorali), ed infine la utilizzeremo per analizzare le dichiarazioni dei redditi di alcuni ex candidati alla presidenza degli Stati Uniti d'America
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