Network reconfiguration is one of the most effective methods to reduce line power loss in the distribution system, which causes higher losses than the other parts of the power system. This paper proposes a modified symbiotic organisms search algorithm to solve the NR problem. For the purpose of enhancing the effectiveness of MSOS, the mutualism and parasitism strategies of the original symbiotic organisms search have been modified to create better new solutions. In the mutualism strategy, the so-far best solution (...) is updated immediately as soon as new solutions are created. In the parasitism strategy, the update is only implemented for the first half of control variables, whereas another half still remains unchanged. The comparison results between MSOS and SOS on twenty-five benchmark functions and different scales of test distribution systems with 14, 33, 69, and 119 nodes show that the improvement level of MSOS over SOS is significant with higher success rates and better quality of gained solutions. Similarly, MSOS also reaches better results than other methods in the literature. Consequently, MSOS can be a favorable method for determining the most appropriate configurations for the distribution systems. (shrink)

This research concentrates on the design and analysis of an algorithm referred to as Virtual Network Configuration (VNC) which uses predicted future states of a system for faster network configuration and management. VNC is applied to the configuration of a wireless mobile ATM network. VNC is built on techniques from parallel discrete event simulation merged with constraints from real-time systems and applied to mobile ATM configuration and handoff. Configuration in a mobile (...) class='Hi'>network is a dynamic and continuous process. Factors such as load, distance, capacity and topology are all constantly changing in a mobile environment. The VNC algorithm anticipates configuration changes and speeds the reconfiguration process by pre-computing and caching results. VNC propagates local prediction results throughout the VNC enhanced system. The Global Positioning System is an enabling technology for the use of VNC in mobile networks because it provides location information and accurate time for each node. This research has resulted in well defined structures for the encapsulation of physical processes within Logical Processes and a generic library for enhancing a system with VNC. Enhancing an existing system with VNC is straight forward assuming the existing physical processes do not have side effects. The benefit of prediction is gained at the cost of additional traffic and processing. This research includes an analysis of VNC and suggestions for optimization of the VNC algorithm and its parameters. (shrink)

The article presents a conceptual framework for distinguishing different sorts of heterogeneous digital materials. The hypothesis is that a wide range of heterogeneous data resources can be characterized and classified due to their particular configurations of hypertext features such as scripts, links, interactive processes, and time scalings, and that the hypertext configuration is a major but not sole source of the messiness of big data. The notion of hypertext will be revalidated, placed at the center of the interpretation of (...) networked digital media, and used in the analysis of the fast-growing amounts of heterogeneous digital collections, assemblages, and corpora. The introduction summarizes the wider background of a fast-changing data landscape. (shrink)

There is a trend toward the use of predictive systems in communications networks. At the systems and network management level predictive capabilities are focused on anticipating network faults and performance degradation. Simultaneously, mobile communication networks are being developed with predictive location and tracking mechanisms. The interactions and synergies between these systems present a new set of problems. A new predictive network management framework is developed and examined. The interaction between a predictive mobile network and the proposed (...) network management system is discussed. The Rapidly Deployable Radio Network is used as a specific example to illustrate these interactions. (shrink)

AbstractSocial Ecological System research highlights the importance of understanding the potential of collective actions, among other factors, when it comes to influencing the transformative configuration of agri-food systems in response to global change. Such a response may result in different desired outcomes for those actors who promote collective action, one such outcome being food sovereignty. In this study, we used an SES framework to describe the configuration of local agri-food systems in Andean Ecuador in order to understand which (...) components of the SES interact, and how they support outcomes linked to five food sovereignty goals. Through a survey administered to mestizo and indigenous peasants, we analyze the key role played by the Agroecological Network of Loja in transforming the local agri-food system through the implementation of a Participatory Guarantee System. This study demonstrates that participation in the RAL and PGS increases farmers’ adoption of agroecological practices, as well as their independence from non-traditional food. Additionally, RAL lobbying with the municipality significantly increases households’ on-farm income through access to local markets. Being part of indigenous communities also influences the configuration of the food system, increasing the participation in community work and access to credit and markets, thus positively affecting animal numbers, dairy production and income diversification. The complexity of the interactions described suggests that more research is needed to understand which key factors may foster or prevent the achieving of food sovereignty goals and promote household adaptation amid high uncertainty due to global change. (shrink)

As one of the most important routing problems in the complex network within a very-large-scale integration circuit, bus routing has become much more challenging when witnessing the advanced technology node enters the deep nanometer era because all bus bits need to be routed with the same routing topology in the context. In particular, the nonuniform routing track configuration and obstacles bring the largest difficulty for maintaining the same topology for all bus bits. In this paper, we first present (...) a track handling technique to unify the nonuniform routing track configuration with obstacles. Then, we formulate the topology-aware single bus routing as an unsplittable flow problem, which is integrated into a negotiation-based global routing to determine the desired routing regions for each bus. A topology-aware track assignment is also presented to allocate the tracks to each segment of buses under the guidance of the global routing result. Finally, a detailed routing scheme is proposed to connect the segments of each bus. We evaluate our routing result with the benchmark suite of the 2018 CAD Contest. Compared with the top-3 state-of-the-art methods, experimental results show that our proposed algorithm achieves the best overall score regarding specified time limitations. (shrink)

Based on two case studies of the design of electronic communication networks developed in the public and private sector, this article explores the barriers within current design cultures to account for the needs and diversity of users. Whereas the constraints on user-centered design are usually described in macrosociological terms, in which the user–technology relation is merely understood as a process of the inclusion or exclusion of users in design, the authors suggest that it is important to adopt a semiotic approach. (...) Moreover, they argue that we need to take into account the gender identity of designers to understand how design practices in ICT prioritize male users. The article shows how configuring the user as “everybody” and the use of the “I-methodology” are important constraints in the development of technologies that aim to reach users in all their diversity. (shrink)

This paper describes the design of a control and management network (orderwire) for a mobile wireless Asynchronous Transfer Mode (ATM) network. This mobile wireless ATM network is part of the Rapidly Deployable Radio Network (RDRN). The orderwire system consists of a packet radio network which overlays the mobile wireless ATM network, each network element in this network uses Global Positioning System (GPS) information to control a beamforming antenna subsystem which provides for spatial (...) reuse. This paper also proposes a novel Virtual Network Configuration (VNC) algorithm for predictive network configuration. A mobile ATM Private Network-Network Interface (PNNI) based on VNC is also discussed. Finally, as a prelude to the system implementation, results of a Maisie simulation of the orderwire system are discussed. (shrink)

This paper offers a historical analysis of contemporary practices of shopping for vegetables in the highly dynamic context of urban Hanoi during the period from 1975 to 2014. Focusing on everyday shopping practices from a food safety perspective, we assess the extent to which the policy-enforced process of supermarketization has proven to be an engine of change in daily vegetable purchasing while improving food safety. In depicting transitions in shopping practices, we combine a social practices approach with historical analysis. Providing (...) a historical analysis of a broad and complex spectrum of everyday practices of purchasing fresh vegetables, we identify the key drivers of change. We discuss different modalities of shopping and demonstrate that no single retail modernization format can be said to exist. Rather than contrasting an idealized supermarket model with the traditional modalities of food shopping, we offer a varied, more diverse set of shopping practices that displays different strategies for coping with food safety issues. When discussed from a historical perspective, food practices are shown to be highly dynamic, being constantly reinvented and reconfigured by consumers who use their established skills, routines, and social networks to sometimes resist top-down enforced supermarketization while developing the coping strategies that best suit their local circumstances. (shrink)

Shors & Matzel propose that hippocampal LTP increases the effective salience of discrete external stimuli and thereby facilitates the induction of memories at distant places. In line with this suggestion, a neural network model of associative learning and hippocampal function assumes that LTP increases hippocampal error signals to the cortex, thereby facilitating stimulus configuration in association cortex. Computer simulations show that under these assumptions the model correctly describes the effect of LTP induction and blockade in classical discriminations and (...) place learning. (shrink)

Pushing through a logical continuum of closed-to open-system views of organizations necessarily changes the conceptualization of a firm from a strongly bounded entity to a configuration of networks and sub-networks, which exists and operates in a larger systemic network configuration. We unfold a classification of management processes corresponding to views of the firm along the closed/open-systems continuum. We examine ethical issues that are likely to devolve from these classes of management processes, and we suggest typical means by (...) which managers will attempt to control their firms' exposure to such issues. The final class of management processes examined focuses on the achievement of out-comes that are mutually satisfactory in the set of networks and sub-networks that constitute the focal firm, and that support the sustainability of the whole system. The article contributes to organizational theory, business ethics, and computer and information ethics by providing a comprehensive analysis of the impact of managerial views of the firm and of networks - virtual, social, informational - on managerial processes and on our understanding of how business ethics issues are linked to perceptions of what a firm is, does, and can do. (shrink)

Typically, public discussions of questions of social import exhibit two important properties: they are influenced by conformity bias, and the influence of conformity is expressed via social networks. We examine how social learning on networks proceeds under the influence of conformity bias. In our model, heterogeneous agents express public opinions where those expressions are driven by the competing priorities of accuracy and of conformity to one’s peers. Agents learn, by Bayesian conditionalization, from private evidence from nature, and from the public (...) declarations of other agents. Our key findings are that networks that produce configurations of social relationships that sustain a diversity of opinions empower honest communication and reliable acquisition of true beliefs, and that the networks that do this best turn out to be those which are both less centralized and less connected. (shrink)

While many periods of history are popularly known by their 'great men',the Enlightenment stands out for the prominence of its 'great groups'. This volume assemblesleading scholars using data-driven scholarship to study the networks that madethe Enlightenment possible, and contributed to creating a new sense of Europeanidentity. From Voltaire's correspondence with Catherine the Great, to AdamSmith's travels on the European continent, mediated and unmediatedcommunication networks were the lifeline of the Enlightenment. What is particularly notable about theEnlightenment is how these different networks (...) were central to theirparticipants' identity. One could nottake part in the Enlightenment on one's own. Although some older historical studies highlightthe importance of social networks in the Enlightenment, data-driven approachesallow for a more comprehensive and granular understanding of the many differenttypes of networks that formed the intellectual and cultural infrastructure ofthe Enlightenment throughout Europe. The recent influx of metadata from thecorrespondences of major Enlightenment figures now allows scholars to studythese networks at both the micro and macro levels, and to explore the worlds ofthe philosophes and the "nodes" intheir networks in rich detail. It is at this intersection of Enlightenmenthistoriography, data capture, and social network analysis that the essayscollected in this volume all fall, taking advantage of new data sources,configurations, and modes of analysis to deepen our understanding of howEnlightenment sociability worked, who it included, and what it meant forparticipants. (shrink)

In this paper, the issue of optimally modifying the structure of a directed network to guarantee its structural controllability is investigated. Given a directed network, in order to obtain a structurally controllable system, a framework for finding the minimum number of directed edges that need to be added to the network is proposed. After we get these edge-addition configurations, we further calculate the network cost of each optimization scheme and choose the one with the minimum cost. (...) Our main contribution is twofold: first, we provide an algorithm able to find all optimal network modifications in polynomial time; second, we provide a way to calculate the cost of optimizing the network based on the node betweenness. Numerical simulations are given to illustrate the theoretical results. (shrink)

Considerable interest has been shown in models of inter-organisational collaboration including clusters, networks and recently supply chains. Arguably effective configurations of enterprises can work together to achieve some form of what is termed ‘collective efficiency’ which enables them to cope with the challenges of the current competitive encironment. This paper addresses one aspect of such collective efficiency: the potential acceleration and improvement of the process of knowledge acquisition and capacity building through shared learning. It explores the concept of formal ‘learning (...) networks’ and reports on UK research into the design and operation of such networks. (shrink)

Cet article présente le Corpus FRAN, premier corpus panfrancophone en ligne sur les variétés de français nord-américaines, élaboré dans le cadre du projet international Le français à la mesure d’un continent (dir. F. Martineau). Il présente d’abord les grandes questions théoriques qui sous-tendent le projet et l’élaboration du Corpus FRAN, puis discute de l’architecture du Corpus FRAN ainsi que de l’interface élaborée pour son interrogation et du protocole de transcription. La configuration du Corpus FRAN, couvrant plusieurs siècles et plusieurs (...) communautés, permet des recherches croisées qui sont susceptibles de mettre en évidence les convergences et divergences entre ces communautés et d’examiner le parcours particulier des locuteurs et scripteurs. Nous illustrons les perspectives qu’ouvre le Corpus FRAN sur la variation et le changement linguistiques par l’étude de deux traits typiques du français nord-américain : la variante m’as (et les variantes associées je vas et je vais) et les variantes de la conséquence ça fait que et so (et les variantes associées alors et donc). (shrink)

The ontology of Bohmian mechanics includes both the universal wave function and particles. Proposals for understanding the physical significance of the wave function in this theory have included the idea of regarding it as a physically-real field in its 3N-dimensional space, as well as the idea of regarding it as a law of nature. Here we introduce and explore a third possibility in which the configuration space wave function is simply eliminated—replaced by a set of single-particle pilot-wave fields living (...) in ordinary physical space. Such a re-formulation of the Bohmian pilot-wave theory can exactly reproduce the statistical predictions of ordinary quantum theory. But this comes at the rather high ontological price of introducing an infinite network of interacting potential fields which influence the particles’ motion through the pilot-wave fields. We thus introduce an alternative approach which aims at achieving empirical adequacy with a more modest ontological complexity, and provide some preliminary evidence for optimism regarding the program of trying to replace the configuration space wave function with a set of fields in ordinary physical space. (shrink)

Although connectionism is advocated by its proponents as an alternative to the classical computational theory of mind, doubts persist about its _computational_ credentials. Our aim is to dispel these doubts by explaining how connectionist networks compute. We first develop a generic account of computation—no easy task, because computation, like almost every other foundational concept in cognitive science, has resisted canonical definition. We opt for a characterisation that does justice to the explanatory role of computation in cognitive science. Next we examine (...) what might be regarded as the “conventional” account of connectionist computation. We show why this account is inadequate and hence fosters the suspicion that connectionist networks aren’t genuinely computational. Lastly, we turn to the principal task of the paper: the development of a more robust portrait of connectionist computation. The basis of this portrait is an explanation of the representational capacities of connection weights, supported by an analysis of the weight configurations of a series of simulated neural networks. (shrink)

This article proposes a semio-rhetorical epistemology for visual documents, one capable of accounting for both their internal configuration, which we shall call the compositional dimension, and their persuasive force within public space, or their rhetorical dimension. The field of reference will be that of identity-related images on social networks, because compared to other kinds of images, such as artistic or professional ones, they adopt new compositional solutions and new dynamics of circulation. To test this theoretical framework, we will conduct (...) an analysis which has never been carried out in semiotics and which, as far as we know, remains very rare even in the overall field of visual studies, that is, the analysis of the profile of an Instagram influencer’s visual production, that of Canadian artist Rupi Kaur. Taking into account the flow of images shared over time, we will focus primarily on the compositional dimension that articulates the specificity of the language of images. The most appropriate model for investigating social network photos seems to be that of the portrait, thanks to which we will identify a first series of regularities and deviations. Secondly, we will turn towards the rhetorical dimension – the persuasive strategies found within, through, and towards images – focusing on the analysis of a single photo: on the one hand, it is a shot which presents greater compositional richness than others; on the other hand, it has greatly impacted the notoriety of the influencer, due to the censorship incurred on Instagram, its abundant coverage by traditional media, and the heated debate it triggered on social media. We will thus propose a reinterpretation of Paul Ricœur’s theory of identity in order to balance the rhetorical and the compositional dimensions through a unitary theoretical hypothesis. Visual identity on social networks is always the result of a negotiation between two opposite tendencies: on the one hand, the experiential pressure expressed through images related to the body and everyday practices; on the other, the algorithmic pressure due to the delegation of the management of identity to software. The case of Rupi Kaur is a rare example of a critical mediation between these two pressures and helps us build a methodology for the examination of images belonging to other social domains. (shrink)

Social media is a pervasive part of everyday life. That is, new media occupies more and more spaces in individuals’ lives both in intimate and work sphere. In addition, due to convergence, new media brought together interpersonal and mass communications in the same environment. This fact has caused a wide range of changes in cultural industries. One of the main changes brought about by social media in relation to the mass media is the construction of a flow of content, advertising (...) and propaganda customized for each individual, and constructed from surveillance and control of individuals’ interactions in digital networks. For so doing, one element is central: Algorithms. It is not only by means of contents produced by cultural workers or amateurs that social media guarantees the life world colonization by the system, but mainly through the tracking of user interactions. That is possible thanks to the data gathering performed by algorithms. Therefore, social networks colonize the life world in a more constant and pervasive way than mass media, facilitating surveillance and social control that are vital for both, the digital conglomerates economic power and the state capacity to watch individuals, either to strengthen the sales effort or to ensure citizen vigilance. (shrink)

Cyber-bullying, and other issues related to violence being committed online in prosocial environments, are beginning to constitute an emergency worldwide. Institutions are particularly sensitive to the problem especially as far as teenagers are concerned inasmuch as, in cases of inter-teen episodes, the deterrent power of ordinary justice is not as effective as it is between adults. In order to develop the most suitable policies, institution should not be satisfied with statistics and sociological perspectives on the phenomenon, but rather seek a (...) deep ethical understanding—also referring to the biological and evolutionary past of human beings. The aim of this paper is to show a way to fill this theoretical gap, offering some answers that can illuminate future policy-oriented research and reflection. In order to do so, we will start by connecting our argument to evolutionary studies carried out in the past two decades, focusing on gossip as a tool for social assortment, thus endowed with a dual function: protect the group from free riders, intruders and bullies but also bully the deviant members. In the “Mediating gossip through social networks” section, we will see which aspects of gossip, vital for bullying, are co-opted by social network scenarios. A fundamental trait of human social life, that is the subdivision in smaller coalitions, or sub-groups, will be shown as missing in social networks dynamics—therefore constituting themselves as structurally violent. The “Why and how do social networks empower bullying?” section will deal with techno-ethical and epistemological concerns regarding how gossip, mediated by SN, manages to empower cyber-bullying. The “Self-gossip and self-mobbing in the light of the disruption of sub-moralities” section will characterize cyber-bullying as often sparked by self-gossip in a scenario where familiar sub-groups, which also mediate defense and mutual understanding, are disrupted. The “Discussion and conclusion” section will consist of a philosophical summary, divided in two parts: a pars destruens analyzing whether SN, in their actual configurations, are fit for being used by humans-like-us, and a pars construens examining the broad potential consequences of highly enforced regulation aimed at contrasting cyber-bullying. (shrink)

Since the outbreak of the novel coronavirus disease at the beginning of December 2019, there have been more than 28.69 million cumulative confirmed cases worldwide as of 12th September 2020, affecting over 200 countries and regions with more than 920,463 deaths. The COVID-19 pandemic has been sweeping worldwide with unexpected rapidity. In this paper, a hybrid modelling strategy based on tessellation structure- configured SEIR model is adopted to estimate the scale of the pandemic spread. Building on the data pertaining to (...) the global pandemic transmission over the last six months around the world, key impact factors in the transmission and control procedure have been analysed, including isolation rate, number of the infected cases before taking prevention measures, degree of contact scope, and medical level, so as to capture the fundamental factor influencing the pandemic. The quantitative evaluation allowed us to illustrate the magnitude of risks of pandemic and to recommend appropriate national health policy of prevention measures for effectively controlling both intra- and interregional pandemic spread. Our modelling results clearly indicate that the early-stage preventive measures are the most effective action to be taken to contain the pandemic spread of the highly contagious nature of the COVID-19. (shrink)

Ethical sourcing and socially responsible purchasing is increasingly on the business agenda, but developing and implementing policy and practice across a global network of suppliers is challenging. The purpose of this paper is to expand theory on the nature of linkages between firms in a social network, specifically postulating how ties between organizations can be configured to facilitate development, diffusion, and adoption of sustainability initiatives. The theory development provides a lens with which to view the influence of a (...) firm’s structural embeddedness in its organizational social network on developing, diffusing and adopting sustainability initiatives. The focus is on brokers who in various structural alignments help bridge the focal firm’s sustainability initiatives with distant or disconnected stakeholders the focal firm is trying to reach. The brokers help the focal firm engage these stakeholders by sharing knowledge and information regarding sustainability initiatives and by incorporating localized needs into the development of the initiatives to facilitate better diffusion and adoption. The theoretical contribution of this manuscript is a novel perspective on sustainability in organizational networks. This perspective allows for greater explanatory power regarding how organizations can achieve sustainable outcomes that meet a broad base of stakeholder needs and better facilitate sustainability initiatives across a diverse and expansive network. (shrink)

As local food activities expand and grow, an important question to answer is how various participants contribute to a local food system’s overall vitality and strength. This paper does so by focusing on the relationships between locally-oriented farm and retail actors and assessing what the configuration of these relationships tells us about the workings of the broader local food system. Such an analysis reveals two things. Empirically, it shows the important role food retailers play in the overall vibrancy of (...) local food exchanges: food retailers form crucial links holding the broader system together and significantly expanding consumer access to local foods. Further, different retailer types have distinct impacts on network configurations, each serving particular roles in the development and maintenance of local food systems. Methodologically, this paper shows the value of applying social network analysis techniques to the study of local food systems: such an approach yields insights that may not be as readily assessable from other strategies. In this paper, I overview common network analysis techniques and apply them to a case study of local food activities in New England, suggesting how such an approach might be applied to local food systems in other places. (shrink)

The combined tendency for positive self‐presentation and mimicry or social learning results in the capability of a population of simulated individuals to optimize their cognitive structures. A population of parallel constraint satisfaction networks was created, with globally and locally optimal activation patterns. Individuals started with random activations and interacted to find optimal vectors. Two social network topologies were tested, as well as two modes of interaction; results indicated that the ability to optimize activation vectors depends on the social (...) class='Hi'>network configuration and whether individuals are influenced by their best neighbor or are attracted to a neighborhood centroid. Simulated individuals are able to find suitable patterns of belief or attitude with very little internal information processing, using social interaction. (shrink)

Autism spectrum disorder is a group of complex neurodevelopment disorders characterized by altered brain connectivity. However, the majority of neuroimaging studies for ASD focus on the static pattern of brain function and largely neglect brain activity dynamics, which might provide deeper insight into the underlying mechanism of brain functions for ASD. Therefore, we proposed a framework with Hidden Markov Model analysis for resting-state functional MRI from a large multicenter dataset of 507 male subjects. Specifically, the 507 subjects included 209 subjects (...) with ASD and 298 well-matched health controls across 14 sites from the Autism Brain Imaging Data Exchange. Based on the HMM, we can identify the recurring brain function networks over time across ASD and healthy controls. Then we assessed the dynamical configuration of the whole-brain networks and further analyzed the community structure of transitions across the brain states. Based on the 19 HMM states, we found that the global temporal statistics of the specific HMM states were significantly altered in ASD compared to HCs. These specific HMM states were characterized by the activation pattern of default mode network, sensory processing networks [including visual network, auditory network, and sensory and motor network ]. Meanwhile, we also find that the specific modules of transitions between states were closely related to ASD. Our findings indicate the temporal reconfiguration of the brain network in ASD and provide novel insights into the dynamics of the whole-brain networks for ASD. (shrink)

The significance of mediatization in countryside settings is an under-researched topic in media studies. In this paper, based on qualitative fieldwork carried out in two rural areas in Sweden, we study how mediatization integrates the prospects of cosmopolitan social change. The current phase of the mediatization process, which imposes a more dynamic register of networked communication, nourishes a new type of cosmopolitan identity in the countryside. As shown in the study, this development is constituted by complex configurations of different forms (...) of mobility and connectivity. We argue that these spatial processes are socially structured, meaning that certain social groups are better equipped, through the appropriation of network capital, for turning cosmopolitan dispositions into a transformative resource, a ‘cosmopolitan politics of place’. Such alterations of the social structure may successively destabilize the relationship between ‘the urban’ and ‘the rural’. (shrink)

Two universal functional principles of Grossberg’s Adaptive Resonance Theory decipher the brain code of all biological learning and adaptive intelligence. Low-level representations of multisensory stimuli in their immediate environmental context are formed on the basis of bottom-up activation and under the control of top-down matching rules that integrate high-level, long-term traces of contextual configuration. These universal coding principles lead to the establishment of lasting brain signatures of perceptual experience in all living species, from aplysiae to primates. They are re-visited (...) in this concept paper on the basis of examples drawn from the original code and from some of the most recent related empirical findings on contextual modulation in the brain, highlighting the potential of Grossberg’s pioneering insights and groundbreaking theoretical work for intelligent solutions in the domain of developmental and cognitive robotics. (shrink)

Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents. However, a shortcoming of data-driven approaches is poor explainability. We posit that in this domain useful explanations of classifier outcomes can be provided by resorting to legal rationales. We thus consider several configurations of memory-augmented neural networks where rationales are given a special role in the modeling of context knowledge. Our results show that rationales not only contribute to improve the (...) classification accuracy, but are also able to offer meaningful, natural language explanations of otherwise opaque classifier outcomes. (shrink)

This paper deals with the problem of reconstruction of the intergenic interaction graph from the raw data of genetic co-expression coming with new technologies of bio-arrays (DMA-arrays, protein-arrays, etc.). These new imaging devices in general only give information about the asymptotical part (fixed configurations of co-expression or limit cycles of such configurations) of the dynamical evolution of the regulatory networks (genetic and/or proteic) underlying the functioning of living systems. Extracting the casual structure and interaction coefficients of a gene interaction (...) class='Hi'>network from the observed configurations is a complex problem. But if all the fixed configurations are supposedly observed and if they are factorizable into two or more subsets of values, then the interaction graph possesses as many connected components as the number of factors and the solution is obtained in polynomial time. This new result allows us for example to partly solve the topology of the genetic regulatory network ruling the flowering in Arabidopsis thaliana. (shrink)

This essay proposes to view networks as sociocultural structures. Following authors from Leopold von Wiese and Norbert Elias to Gary Alan Fine and Harrison White, networks are configurations of social relationships interwoven with meaning. Social relationships as the basic building blocks of networks are conceived of as dynamic structures of reciprocal (but not necessarily symmetric) expectations between alter and ego. Through their transactions, alter and ego construct an idiosyncratic "relationship culture" comprising symbols, narratives, and relational identities. The coupling of social (...) relationships to networks, too, is heavily laden with meaning. The symbolic construction of persons is one instance of this coupling. Another instance is the application of social categories (like race or gender), which both map and structure social networks. The conclusion offers an agenda for research on this "meaning structure of social networks.". (shrink)

Seeking to derive the manifestly qualitative world of objects and entities without recourse to fundamental categoricity or qualitativity, I offer an account of how higher-order categorical properties and objects may emerge from a pure-power base. I explore the possibility of ‘fields’ whose fluctuations are force-carrying entities, differentiated with respect to a micro-topology of curled-up spatial dimensions. Since the spacetime paths of gauge bosons have zero ‘spacetime interval’ and no time-like extension, I argue that according them the status of fundamental entities (...) would support a pure-power ontology. Such entities, circulating within self-sustaining micro-topological ‘networks’, feasibly maintain definite spatial configurations of conserved physical quantities, including energy-momentum. Perceived as time-like and massy, and representing fermionic entities, they give rise to the manifest world. (shrink)

Two universal functional principles of Grossberg’s Adaptive Resonance Theory [19] decipher the brain code of all biological learning and adaptive intelligence. Low-level representations of multisensory stimuli in their immediate environmental context are formed on the basis of bottom-up activation and under the control of top-down matching rules that integrate high-level long-term traces of contextual configuration. These universal coding principles lead to the establishment of lasting brain signatures of perceptual experience in all living species, from aplysiae to primates. They are (...) re-visited in this concept paper here on the basis of examples drawn from the original code and from some of the most recent related empirical findings on contextual modulation in the brain, highlighting the potential of Grossberg’s pioneering insights and groundbreaking theoretical work for intelligent solutions in the domain of developmental and cognitive robotics. (shrink)

The article proposes Logic of Secrets in Collaboration Networks, a formal logical system for reasoning about a set of secrets established over a fixed configuration of communication channels. The system’s key feature, a multi-channel relation called independence, is a generalization of a two-channel relation known in the literature as nondeducibility. The main result is the completeness of the proposed system with respect to a semantics of secrets.

This book reviews the research on Einstein’s brain from a sociological perspective and in the context of the social brain paradigm. Instead of “Einstein, the genius of geniuses” standing on the shoulders of giants, Restivo proposes a concept of Einstein the social being standing on the shoulders of social networks. Rather than challenging Einstein’s uniqueness or the uniqueness of his achievements, the book grounds Einstein and his achievements in a social ecology opposed to the myths of the “I,” individualism, and (...) the very idea of “genius.” “Einstein” is defined by the particular configuration of social networks that he engaged as his life unfolded, not by biological inheritances. (shrink)

The article proposes Logic of Secrets in Collaboration Networks, a formal logical system for reasoning about a set of secrets established over a fixed configuration of communication channels. The system’s key feature, a multi-channel relation called independence, is a generalization of a two-channel relation known in the literature as nondeducibility. The main result is the completeness of the proposed system with respect to a semantics of secrets.

Connectionism—also known as parallel distributed processing, or neural network modeling—offers promise as a framework to unite clinical and cognitive psychology, and as a tool for studying conscious and unconscious mental activity. This paper describes a neural network model of the case study of Lucy R., from Freud and Breuer's Studies on Hysteria. Though very simple in architecture, the network spontaneously displays analogues of repression and hallucination, corresponding to Lucy R.'s symptoms. Salient elements of Lucy's conscious experience are (...) represented in the model by the activations of neuronlike processors in a fully interconnected network, without hidden units. The model learns to associate elements of experience that were associated in Lucy's case history. Some of these configurations of elements were traumatic for Lucy; trauma is modeled in the network by "emphatic learning," learning accomplished at an abnormally high learning rate. The model suggests that changing associations among conscious elements are sufficient to generate the symptoms Freud observed: apparent repression, hallucination, and recovery through therapy. In the case of Lucy R., Freud's theoretical inference regarding active but unconscious thought is not required by his data. Instead, the unconscious can be understood as a set of complex dispositions embodied in connections between elements of conscious experience. (shrink)

With the contradiction between supply and demand being intensified, the unreasonable crude oil trade structure has become increasingly prominent. Therefore, optimizing the supply and demand structure of the global crude oil trade is an urgent problem, which has become one of the crucial factors affecting the energy strategy and economic development of each country. This paper builds an optimization model that aims at minimizing crude oil trade costs based on the complex network theory. Meanwhile, an optimal solution generation approach (...) is proposed and developed in this paper. Compared with the preoptimized trade network, the proposed model can effectively reduce the trade cost. By topological analysis of the trade network and its optimal configuration, we obtain that both the preoptimized and optimized crude oil trade networks follow power-law distribution. By using the minimum spanning tree, we find that the major crude oil net exporting countries have the most significant influence and are at the core in the optimized trade structure. This work focuses on the sustainable development of the global crude oil trade and provides a fresh perspective for the optimal crude oil trade system. Moreover, the methodology and model may be applied in the investigation of optimization for other energy system structures. (shrink)

The technology, which is implemented with cross platform tools, is proposed for modeling of gesture units of sign language, animation between states of gesture units with a combination of gestures. Implemented technology simulates sequence of gestures using virtual spatial hand model and performs recognition of dactyl items from camera input using trained on collected training dataset set convolutional neural network, based on the MobileNetv3 architecture, and with the optimal configuration of layers and network parameters. On the collected (...) test dataset accuracy of over 98% is achieved. (shrink)

Inception module is one of the most used variants in convolutional neural networks. It has a large portfolio of success cases in computer vision. In the past years, diverse inception flavours, differing in the number of branches, the size and the number of the kernels, have appeared in the scientific literature. They are proposed based on the expertise of the practitioners without any optimization process. In this work, an implementation of population-based incremental learning is proposed for automatic optimization of the (...) hyperparameters of the inception module. This hyperparameters optimization undertakes classification of the MNIST database of handwritten digit images. This problem is widely used as a benchmark in classification, and therefore, the learned best configurations for the Inception module will be of wide use in the deep learning community. In order to reduce the carbon footprint of the optimization process, policies for reducing the redundant evaluations have been undertaken. As a consequence of this work, an evaluation of configurations of the inception module and a mechanism for optimizing hyperparameters in deep learning architectures are stated. (shrink)

In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. OCR (...) application has been developed for various cursive languages like Urdu, Chinese, and Japanese, but very little work is done for the recognition of the Pashto language. When it comes to handwritten character recognition, it becomes more difficult for OCR to recognize the characters as every handwritten character’s shape is influenced by the writer’s hand motion dynamics. The reason for the lack of research in Pashto handwritten character data as compared to other languages is because there is no benchmark dataset available for experimental purposes. This study focuses on the creation of such a dataset, and then for the evaluation purpose, a machine is trained to correctly recognize unseen Pashto handwritten characters. To achieve this objective, a dataset of 43000 images was created. Three Feed Forward Neural Network models with backpropagation algorithm using different Rectified Linear Unit layer configurations were trained and tested with this dataset. The simulation shows that Model 1 achieved accuracy up to 87.6% on unseen data while Model 2 achieved an accuracy of 81.60% and 3% accuracy, respectively. Similarly, loss was the lowest for Model 1 with 0.15 and 3.17 for training and testing, followed by Model 2 with 0.7 and 4.2 for training and testing, while Model 3 was the last with loss values of 6.4 and 3.69. The precision, recall, and f-measure values of Model 1 were better than those of both Model 2 and Model 3. Based on results, Model 1 is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters. (shrink)

Funded by the U.S. Department of Education, the Baltimore Learning Community (BLC) project established a networked electronic learning community through the use of high-quality digital science and social studies resources and high-speed networking. The project will enable science and social studies teachers to access images, text, Web sites, and full motion video via high-speed connections to the Internet. Extending such multimedia configurations into urban schools has facilitated a rethinking of teaching and learning in content classes as well as a reconsideration (...) of how media and method are integrated. It facilitates teacher engagement in designing authentic classroom instruction framed by performance assessments and links project teachers and school site coordinators through a client server, thus promoting a network of teachers and students engaged in learning across schools. However, such a project is not without its challenges—human as well as technological. This article discusses the BLC project identifying technology possibilities, current situational constraints, and implications of creating networked learning communities across disciplines and beyond school walls. (shrink)