With the advent of big data, the use of network data to characterize travel has gradually become a trend. Tencent Migration big data can fully, dynamically, immediately, and visually record the trajectories of population migrations with location-based service technology. Here, the daily population flow data of 346 cities during the Spring Festival travel rush in China were combined with different travel modes to measure the spatial structure and spatial patterns of an intercity trip network of Chinese residents. These (...) data were then used for a comprehensive depiction of the complex relationships between the population flows of cities. The results showed that there were obvious differences in the characteristics of urban networks from the perspective of different modes of travel. The intercity flow of aviation trips showed a core-periphery structure with national hub cities as the core distribution. Trips by train showed a core-periphery structure with cities along the national railway artery as the core. This gradually decreased toward hinterland cities. Moreover, the intercity flow of highway trips indicated a spatial pattern of strong local aggregation that matched the population scale. (shrink)

Lower plasma levels of high-density lipoproteins in adolescents with type 2 diabetes have been associated with a higher pulse wave velocity, a marker of arterial stiffness. Evidence suggests that HDL proteins or particle subspecies are altered in T2D and these may drive these relationships. In this work, we set out to reveal any specific proteins and subspecies that are related to arterial stiffness in youth with T2D from proteomics data. Plasma and PWV measurements were previously acquired from lean (...) and T2D adolescents. Each plasma sample was separated into 18 fractions and evaluated by mass spectrometry. Then, we applied a validated network-based computational approach to reveal HDL subspecies associated with PWV. Among 68 detected phospholipid-associated proteins, we found that seven were negatively correlated with PWV, indicating that they may be atheroprotective. Conversely, nine proteins show positive correlation with PWV, suggesting that they may be related to arterial stiffness. Intriguingly, our results demonstrate that apoA-I and histidine-rich glycoprotein may reverse their protective roles and become antagonistic in the setting of T2D. Furthermore, we revealed two arterial stiffness-associated HDL subspecies, each of which contains multiple PWV-related proteins. Correlation and disease association analyses suggest that these HDL subspecies might link T2D to its cardiovascular-related complications. (shrink)

The new business opportunities and prospects emerging in Europe within the Common Market and other Western and European countries also raise important ethical challenges. This work comprises a collection of ethical insights to enhance the conduct of business in an evolving Europe.

El conocimiento del medio urbano de La Coruña constituye una temática básica para el estudio de la realidad territorial regional de Galicia. Así, el análisis del modelo de ciudad, su evolución histórica, su red urbana y sus características territoriales, nos facilitan la interpretación de la conformación evolutiva de la red urbana. Para ello, al estudiar mediante el manejo de las diferentes cartografías históricas de la ciudad podremos disponer de una relevante información sobre sus características físicas y territoriales; su articulación en (...) el sistema urbano español, etc. (shrink)

Sickle cell anemia is a disease characterized by abnormal hemoglobin structure. There is a mutation in the beta-globin gene that changes the sixth amino acid from glutamic acid to valine causing the mutated hemoglobin to polymerize reversibly when deoxygenated to form a gelatinous network of fibrous polymers that stiffen and distort the red blood cell membrane. This leads to episodes of microvascular vasoocclusion and premature RBC destruction leading to hemolytic anemia. For reasons that are unclear, some children develop a (...) large artery vasculopathy involving the intracranial arteries supplying the brain.The risk of stroke for a child with SCD is many times greater than that of a healthy child without SCD or heart disease. There is a technique that allows the identification of the children with SCD who have high risk even within this relatively high-risk group. And there is a highly effective preventive treatment. (shrink)

At the global as well as local scales, some of the geometry of types of neuron arbors—both dendrites and axons—appears to be self-organizing: Their morphogenesis behaves like flowing water, that is, fluid dynamically; waterflow in branching networks in turn acts like a tree composed of cords under tension, that is, vector mechanically. Branch diameters and angles and junction sites conform significantly to this model. The result is that such neuron tree samples globally minimize their total volume—rather than, for example, surface (...) area or branch length. In addition, the arbors perform well at generating the cheapest topology interconnecting their terminals: their large-scale layouts are among the best of all such possible connecting patterns, approaching 5% of optimum. This model also applies comparably to arterial and river networks. S1063-651X 99 16205-6.. (shrink)

The establishment of a functional vascular system requires multiple complex steps throughout embryogenesis, from endothelial cell (EC) specification to vascular patterning into venous and arterial hierarchies. Following the initial assembly of ECs into a network of cord‐like structures, vascular expansion and remodeling occur rapidly through morphogenetic events including vessel sprouting, fusion, and pruning. In addition, vascular morphogenesis encompasses the process of lumen formation, critical for the transformation of cords into perfusable vascular tubes. Studies in mouse, zebrafish, frog, and (...) human endothelial cells have begun to outline the cellular and molecular requirements underlying lumen formation. Although the lumen can be generated through diverse mechanisms, the coordinated participation of multiple conserved molecules including transcription factors, small GTPases, and adhesion and polarity proteins remains a fundamental principle, leading us closer to a more thorough understanding of this complex event. (shrink)

Surging from the ontopoietic vital timing of life, human self-consciousness prompts the innermost desire to rise above its brute facts. Imaginatio creatrix inspires us to fabulate these facts into events and plots with personal significance attempting to delineate a life-course in life-stories within the ever-flowing stream – existence. Seeking their deep motivations, causes and concatenations, we fabulate relatively stabilized networks of interconnecting meaning – history. But to understand the meaning and sense of these networks’ reconfigurations call for the purpose and (...) telos of our endless undertaking; they remain always incomplete, carried onwards with the current of life, while fluctuating with personal experience in the play of memory. Facts and life stories, subjective desires and propensities, the circumambient world in its historical moves, creative logos and mythos, personal freedom and inward stirrings thrown in an enigmatic interplay, prompt our imperative thirst for the meaning of this course, its purpose and its fulfillment – the sense of it all. To disentangle all this animates the passions of the literary genius. The focus of this collection is to isolate the main arteries running through the intermingled forces prompting our quest to endow life with meaning. Papers by: Jadwiga Smith, Lawrence Kimmel, Alira Ashvo-Munoz, William D. Melaney, Imafedia Okhamafe, Michel Dion, Franck Dalmas, Ludmila Molodkina, Victor Gerald Rivas, Rebecca M. Painter, Matti Itkonen, Raymond J. Wilson III, Christopher S. Schreiner, Bruce Ross, Bernadette Prochaska, Tsung-I Dow, Jerre Collins, Cezary Jozef Olbromski, Victor Kocay, Roberto Verolini. (shrink)

Cutting across Chicago's South Side in a broad swath of concrete, steel, and overpasses, the Dan Ryan Expressway is one of America's busiest, and perhaps most chaotic highways. Yet underneath the cacophony of its ten lanes lies an intriguing world of urban ecology and human networks. In The Dan Ryan Expressway, artist and photographer Jay Wolke unearths an ecosystem unto itself that weaves human and industrial elements into an essential feature of Chicago's identity. Between 1981 and 1985, Wolke shot thousands (...) of photographs on and along the Dan Ryan during the day and night, traveling up and down the expressway in an effort to accurately capture it. In the twenty years since the photographs were taken, Wolke has organized his pictures into a complex and fascinating portrait of this iconic highway, which he characterizes as an "arterial organism" with its own "cycles and flows, causes and effects." The book is a dynamic narrative that explores the Dan Ryan's enormous influence over the people who drive on it, the neighborhoods lined alongside it, and the industrial environs it weaves through. As Chicago transportation officials prepare to launch a massive renovation of the Dan Ryan Expressway, Wolke here presents a historical chronicle of the development of the Dan Ryan and its rapid integration into Chicago's urban life. His photographs create an arresting visual representation of the expressway that provides an important window into the structure of Chicago's urban landscape and culture. The Dan Ryan Expressway ultimately examines where the highway fits within the trope of the American road and explores how it became "a massive expression of the urban lexicon." "As chilling as Blade Runner--unfortunately this is not a dytopian vision set in a distant, fictional future--this is Chicago, and this is America now. The automobile has utterly changed the landscape and our lives--Jay Wolke has found a powerful way to record this historic transformation in this unique, important photographic achievement."--Joel Sternfeld. (shrink)

Background The post-trial period is the time period after the end of study drug administration. It is unclear whether post-trial arrangements for patient surveillance are routinely included in study protocols and consents, and whether research ethics boards (REB) consider the post-trial period. Objectives The objective was to determine whether trial protocols and consent forms reviewed by the REB describe procedures for post-trial period surveillance. Methods An observational study of protocols of randomised trials of chronic therapies for cardiac conditions, approved by (...) the REB of two academic institutions affiliated with the University of Toronto in Canada (University Health Network and Mount Sinai Hospital) from 1995 to 2007. Plans for patient surveillance in the post-trial period described in the protocol or in the consent form before and after REB approval were recorded. Results 42 studies were identified including 18 heart failure and 15 coronary artery disease trials. Only four studies planned a clinical visit after trial termination, and an additional three planned a telephone contact after trial completion. Five trials submitted consent forms to the REB with a discussion of the post-trial period. Conclusions The majority of protocols and consent forms did not discuss plans for post-trial period surveillance. The post-trial period and the REB approval process could be improved by systematic follow-up being described in the protocol and consent form. The small number of trial protocols evaluated in the study may impair the degree to which the results can be generalised. (shrink)

A tree‐like hierarchical branching structure is present in many biological systems, such as the kidney, lung, mammary gland, and blood vessels. Most of these organs form through branching morphogenesis, where outward growth results in smaller and smaller branches. However, the blood vasculature is unique in that it exists as two trees (arterial and venous) connected at their tips. Obtaining this organization might therefore require unique developmental mechanisms. As reviewed here, recent data indicate that arterial trees often form in (...) reverse order. Accordingly, initial arterial endothelial cell differentiation occurs outside of arterial vessels. These pre‐artery cells then build trees by following a migratory path from smaller into larger arteries, a process guided by the forces imparted by blood flow. Thus, in comparison to other branched organs, arteries can obtain their structure through inward growth and coalescence. Here, new information on the underlying mechanisms is discussed, and how defects can lead to pathologies, such as hypoplastic arteries and arteriovenous malformations. -/- . (shrink)

The adverse effects of the Covid-19 pandemic have exposed the lack of multi-scalar community resilient strategies that catalyze the development of alternative coping mechanisms for future challenges. To address the immediate needs of vulnerable and marginalized groups, especially in times of crisis, as evidenced by the pandemic, micro-networks within communities have mitigated and reduced harm through self-devised ingenuity based on local ways of life. Socio-spatial micro-networks have the potential to empower communities to self-organize, engage, collaborate, co-design, co-build, and connect with (...) other communities to improve their resilience. This paper focuses on the impact of micro-networks of care, participatory action research, community health, solidarity and mutual aid in Nairobi (Kenya), comparing their resilience strategies, pre- and post Covid-19 pandemic era. Through analytical, empirical, and comparative studies, this paper envisions viable ways of augmenting and enhancing self-devised, self-sufficient, and resilient culture in marginalized communities in Africa and worldwide. -/- . (shrink)

In this chapter, I consider three ‘promises’ of bringing phenomenology into dialogue with networked learning. First, a ‘conceptual promise’, which draws attention to conceptual resources in phenomenology that can inspire and inform how we understand, conceive of, and uncover experiences of participants in networked learning activities and environments. Second, a ‘methodological promise’, which outlines a variety of ways that phenomenological methodologies and concepts can be put to use in empirical research in networked learning. And third, a ‘critical promise’, which suggests (...) how work done in the realm of critical phenomenology is complementary to and useful for exploring the social justice and emancipatory aims of networked learning researchers. Through this framework, I reflect upon multiple ways in which phenomenology has and might continue to fruitfully inform and shape networked learning research. In doing so, I emphasise that deploying phenomenology in the context of networked learning not only enriches our understanding of networked learning but that phenomenology itself is enriched through testing, finetuning, and expanding its methods, concepts, and understanding, as well as unveiling its own limitations and constraints. (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)

Categorization and memory for specific items are fundamental processes that allow us to apply knowledge to novel stimuli. This study directly compares categorization and memory using delay match to category (DMC) and delay match to sample (DMS) tasks. In DMC participants view and categorize a stimulus, maintain the category across a delay, and at the probe phase view another stimulus and indicate whether it is in the same category or not. In DMS, a standard item working memory task, participants encode (...) and maintain a specific individual item, and at probe decide if the stimulus is an exact match or not. Constrained Principal Components Analysis was used to identify and compare activity within neural networks associated with these tasks, and we relate these networks to those that have been identified with resting state-fMRI. We found that two frontoparietal networks of particular interest. The first network included regions associated with the dorsal attention network and frontoparietal salience network; this network showed patterns of activity consistent with a role in rapid orienting to and processing of complex stimuli. The second uniquely involved regions of the frontoparietal central executive network; this network responded more slowly following each stimulus and showed a pattern of activity consistent with a general role in role in decision-making across tasks. Additional components were identified that were associated with visual, somatomotor and default mode networks. (shrink)

In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful (...) in explaining the properties of non-decomposable systems. Where part-whole decomposition is not possible, network science provides a much-needed alternative method of compressing information about the behavior of complex systems, and does so without succumbing to problems associated with combinatorial explosion. The article concludes with a comparison between the uses of network representation analyzed in the main discussion, and an entirely distinct use of network representation that has recently been discussed in connection with mechanistic modeling. (shrink)

I explored the relationship between the “Black Axe” Confraternity and cybercrime, with a particular emphasis on the structural dynamics of the Business Email Compromise (BEC) schemes. I investigated whether a conventional hierarchical system governs the membership and remuneration for BEC roles as perpetrators by interviewing an accused “leader” of the “Black Axe” affiliated cybercriminal incarcerated in a prominent Western nation. I supplemented the analysis of interview data with insights from tapped phone records monitored by a law enforcement entity. I merged (...) Actor-network theory and Social Network theory as analytical frameworks and thematically analyzed data to produce six overarching themes: (1) The fluidity of Structure and Adaptive Roles in BEC, (2) Challenges in Visualizing Criminal Networks, (3) Globalization and Transnational Dimensions, (4) Social and Cultural Influences, (5) Internal Cybersecurity Threats and Money Laundering, and (6) Remuneration and Influences of Cryptocurrency, casting a brighter light on the topic. Unlike traditional organized crime, BEC scammers have adopted a nonhierarchical model that is flexible and fluid. I found no evidence of a rigid hierarchy dictating positions and remuneration for BEC roles. Instead, I observed that cybercriminals involved in BEC activities functioned horizontally, promoting fluidity, maneuverability, collaboration, and specialization across various facets of their illicit pursuits. I also highlighted the cross-border links BEC offenders have with other criminal actors facilitated by Black Axe organizational machinery. My research adds value to the existing body of knowledge, utilizing a unique dataset comprising direct testimonies of a high-profile BEC offender affiliated with the ‘hard–to–access,’ Black Axe gang. (shrink)

By focusing on the works and intellectual network of the Timurid historian Sharaf al Dīn ʻAlī Yazdī (d.1454), this book presents a holistic view of intellectual life in fifteenth century Iran. İlker Evrim Binbaş argues that the intellectuals in this period formed informal networks which transcended political and linguistic boundaries, and spanned an area from the western fringes of the Ottoman State to bustling late medieval metropolises such as Cairo, Shiraz, and Samarkand. The network included an Ottoman revolutionary, (...) a Mamluk prophet, and a Timurid occultist, as well as physicians, astronomers, devotees of the secret sciences, and those political figures who believed that the network was a force to be taken seriously. Also discussing the formation of an early modern Islamicate republic of letters, this book offers fresh insights on the study of intellectual history beyond the limitations imposed by nationalist methodologies, established genres, and recognized literary traditions. (shrink)

The network approach to psychopathology posits that mental disorders can be conceptualized and studied as causal systems of mutually reinforcing symptoms. This approach, first posited in 2008, has grown substantially over the past decade and is now a full-fledged area of psychiatric research. In this article, we provide an overview and critical analysis of 363 articles produced in the first decade of this research program, with a focus on key theoretical, methodological, and empirical contributions. In addition, we turn our (...) attention to the next decade of the network approach and propose critical avenues for future research in each of these domains. We argue that this program of research will be best served by working toward two overarching aims: (a) the identification of robust empirical phenomena and (b) the development of formal theories that can explain those phenomena. We recommend specific steps forward within this broad framework and argue that these steps are necessary if the network approach is to develop into a progressive program of research capable of producing a cumulative body of knowledge about how specific mental disorders operate as causal systems. (shrink)

Behavioural Network Science provides a comprehensive introduction to network science for social and behavioral researchers and students. It is a self-contained guide to the fundamentals of network science, beginning with principles of representing and making networks, network metrics, and network evolution. It then delves into specific applications of network science to behavioral research including language evolution, learning, memory, aging, creativity, conspiracies, group problem-solving, opinion polarization, and social conflict. Within each application, theoretical aspects surrounding a (...) core problem are discussed, providing readers with an intuitive understanding of how network science can be employed to quantify and generate behavioural phenomena. Accompanying online R code allows readers to replicate simulations and generate figures. This book is an essential reference for graduate students and researchers in cognitive sciences, behavioural economics, and health and social policy seeking a nuanced understanding of the intersection between network science and behavioural research. (shrink)

Monica Colvin-Adams,1 Nonyelum Harcourt,1 Robert LeDuc,2 Ganesh Raveendran,1 Yassir Sonbol,3 Robert Wilson,1 Daniel Duprez11Cardiovascular Division, University of Minnesota, Minneapolis, MN, USA; 2Division of Biostatistics University of Minnesota, Minneapolis, MN, USA; 3Cardiovascular Division, St Luke's Hospital System, Sugar Land, TX, USAObjective: Arterial elasticity is a functional biomarker that has predictive value for cardiovascular morbidity and mortality in nontransplant populations. There is little information regarding arterial elasticity in heart transplant recipients. This study aimed to characterize small and large artery elasticity (...) in heart transplant recipients in comparison with an asymptomatic population free of overt cardiovascular disease. A second goal was to identify demographic and clinical factors associated with arterial elasticity in this unique population.Methods: Arterial pulse waveform was registered noninvasively at the radial artery in 71 heart transplant recipients between 2008 and 2010. SAEs and LAEs were derived from diastolic pulse contour analysis. Comparisons were made to a healthy cohort of 1,808 participants selected from our prevention clinic database. Multiple regression analyses were performed to evaluate associations between risk factors and SAE and LAE within the heart transplant recipients.Results: LAE and SAE were significantly lower in heart transplant recipients than in the normal cohort. Female sex and history of ischemic cardiomyopathy were significantly associated with reduced LAE and SAE. Older age and the presence of moderate cardiac allograft vasculopathy were also significantly associated with reduced SAE. Transplant duration was associated with increased SAE.Conclusion: Heart transplants are associated with peripheral endothelial dysfunction and arterial stiffness, as demonstrated by a significant reduction in SAE and LAE when compared with a healthy population. Furthermore, cardiac allograft vasculopathy is associated with a significant reduction in SAE, suggesting a potential use in screening heart transplant recipients at risk for developing this complication.Keywords: heart transplant, endothelial function, arterial elasticity, cardiac allograft vasculopathy. (shrink)

Social network analysis (SNA) is an increasingly popular approach that provides researchers with highly developed tools to map and analyze complexes of social relations. Although a number of network scholars have explicated the assumptions that underpin SNA, the approach has yet to be discussed in relation to established philosophies of science. This article argues that there is a tension between applied and methods-oriented SNA studies, on the one hand, and those addressing the social-theoretical nature and implications of networks, (...) on the other. The former, in many cases, exhibits positivist tendencies, whereas the latter incorporate a number of assumptions that are directly compatible with core critical realist views on the nature of social reality and knowledge. This article suggests that SNA may be detached from positivist social science and come to constitute a valuable instrument in the critical realist toolbox. (shrink)

A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain types does show (...) clear threshold effects. Intriguingly, however, those effects appear to be importantly independent from more familiar threshold effects in networks. (shrink)

Shared conceptualization, in the sense we take it here, is as recent a notion as the Semantic Web, but its relevance for a large variety of fields requires efficient methods of extraction and representation for both quantitative and qualitative data. This notion is particularly relevant for the investigation into, and construction of, semantic structures such as knowledge bases and taxonomies, but given the required large, often inaccurate, corpora available for search we can get only approximations. We see fuzzy description logic (...) as an adequate medium for the representation of human semantic knowledge and propose a means to couple it with fuzzy semantic networks via the propositional Łukasiewicz fuzzy logic such that these suffice for decidability for queries over a semantic-knowledge base such as “to what degree of sharedness does it entail the instantiation C(a) for some concept C” or “what are the roles R that connect the individuals a and b to degree of sharedness ε.” . (shrink)

A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and (...) others’, in order to get a firmer grasp on precisely which features of scientific communities interact with which features of scientific questions in order to influence epistemic outcomes. (shrink)

Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes necessitates theorizing (...) about causality. Together, hierarchy and causality theories explain how biorealities form and diversify with time. This paper analyzes how Applied EE redefines both hierarchy and causality theories in the light of the recent explosion of network approaches to causal reasoning associated with studies on reticulate and macroevolution. Causality theories have often been framed from within a rigid, ladder-like hierarchy theory where the rungs of the ladder represent the different levels, and the elements on the rungs represent the evolving units. Causality then is either defined reductionistically as an upward movement along the strands of a singular hierarchy, or holistically as a downward movement along that same hierarchy. Upward causation theories thereby analyze causal processes in time, i.e. over the course of natural history or phylogenetically, as Darwin and the founders of the Modern Synthesis intended. Downward causation theories analyze causal processes in space, ontogenetically or ecologically, as the current eco-evo-devo schools are evidencing. This work demonstrates how macroevolution and reticulate evolution theories add to the complexity by examining reticulate causal processes in space–time, and the interactional hierarchies that such studies bring forth introduce a new form of causation that is here called reticulate causation. Reticulate causation occurs between units and levels belonging to different as well as to the same ontological hierarchies. This article concludes that beyond recognizing the existence of multiple units, levels, and mechanisms or processes of evolution, also the existence of multiple kinds of evolutionary causation as well as the existence of multiple evolutionary hierarchies needs to be acknowledged. This furthermore implies that evolution is a pluralistic process divisible into different kinds. (shrink)

We appeal to the theory of Bayesian Networks to model different strategies for obtaining confirmation for a hypothesis from experimental test results provided by less than fully reliable instruments. In particular, we consider (i) repeated measurements of a single test consequence of the hypothesis, (ii) measurements of multiple test consequences of the hypothesis, (iii) theoretical support for the reliability of the instrument, and (iv) calibration procedures. We evaluate these strategies on their relative merits under idealized conditions and show some surprising (...) repercussions on the variety-of-evidence thesis and the Duhem-Quine thesis. (shrink)

ABSTRACT:Alasdair MacIntyre’sAfter Virtuehas made a significant impact within business ethics. This impact has centered upon applications of the virtues-goods-practices-institutions schema. In this article, I develop an extension of the practices-institutions schema, drawing upon MacIntyre’s later text,Dependent Rational Animals. Two key concepts drawn from this text are “networks of giving and receiving” and “the virtues of acknowledged dependence.” Networks of giving and receiving are non-calculative relationships that enable participants to cope with vulnerability. These relationships are sustained by the virtues of acknowledged (...) dependence, including just generosity,misericordia,and beneficence, virtues that direct participants to treat the needs of others as reasons for action. Drawing upon research in social network theory, I develop an example illustrating the application of these concepts within an organizational and interorganizational context. I then suggest a number of applications and research questions related to this extension of the practices-institutions schema. (shrink)

Systems biology provides alternatives to the strategies to developing mechanistic explanations traditionally pursued in cell and molecular biology and much discussed in accounts of mechanistic explanation. Rather than starting by identifying a mechanism for a given phenomenon and decomposing it, systems biologists often start by developing cell-wide networks of detected connections between proteins or genes and construe clusters of highly interactive components as potential mechanisms. Using inference strategies such as ‘guilt-by-association’, researchers advance hypotheses about functions performed of these mechanisms. I (...) examine several examples of research on budding yeast, first on what are taken to be enduring networks and subsequently on networks that change as cells perform different activities or respond to different external conditions. (shrink)

The aim of the paper is to introduce some of the history and key concepts of network science to a philosophical audience, and to highlight a crucial—and often problematic—presumption that underlies the network approach to complex systems. Network scientists often talk of “the structure” of a given complex system or phenomenon, which encourages the view that there is a unique and privileged structure inherent to the system, and that the aim of a network model is to (...) delineate this structure. I argue that this sort of naïve realism about structure is not a coherent or plausible position, especially given the multiplicity of types of entities and relations that can feature as nodes and links in complex networks. (shrink)

In this paper, we explore the conceptual problems arising when using network analysis in person- centered care (PCC) in psychiatry. Personalized network models are potentially helpful tools for PCC, but we argue that using them in psychiatric practice raises boundary problems, i.e., problems in demarcating what should and should not be included in the model, which may limit their ability to provide clinically-relevant knowledge. Models can have explanatory and representational boundaries, among others. We argue that we can make (...) more explicit what kind of questions personalized network models can address in PCC, given their representational and explanatory boundaries, using perspectival reasoning. (shrink)

There is a long philosophical tradition of addressing questions in philosophy of science and epistemology by means of the tools of Bayesian probability theory (see Earman (1992) and Howson and Urbach (1993)). In the late '70s, an axiomatic approach to conditional independence was developed within a Bayesian framework. This approach in conjunction with developments in graph theory are the two pillars of the theory of Bayesian Networks, which is a theory of probabilistic reasoning in artificial intelligence. The theory has been (...) very successful over the last two decades and has found a wide array of applications ranging from medical diagnosis to safety systems for hazardous industries. (shrink)

The so-called Baldwin Effect generally says how learning, as a form of ontogenetic adaptation, can influence the process of phylogenetic adaptation, or evolution. This idea has also been taken into computation in which evolution and learning are used as computational metaphors, including evolving neural networks. This paper presents a technique called evolving self-taught neural networks – neural networks that can teach themselves without external supervision or reward. The self-taught neural network is intrinsically motivated. Moreover, the self-taught neural network (...) is the product of the interplay between evolution and learning. We simulate a multi-agent system in which neural networks are used to control autonomous agents. These agents have to forage for resources and compete for their own survival. Experimental results show that the interaction between evolution and the ability to teach oneself in self-taught neural networks outperform evolution and self-teaching alone. More specifically, the emergence of an intelligent foraging strategy is also demonstrated through that interaction. Indications for future work on evolving neural networks are also presented. (shrink)

There is widespread belief that connectionist networks are dramatically different from classical or symbolic models. However, connectionists rarely test this belief by interpreting the internal structure of their nets. A new approach to interpreting networks was recently introduced by Berkeley et al. (1995). The current paper examines two implications of applying this method: (1) that the internal structure of a connectionist network can have a very classical appearance, and (2) that this interpretation can provide a cognitive theory that cannot (...) be dismissed as a mere implementation. (shrink)