Effect of pair interactions on transition probabilities between inactive and active states: achieving collective behaviour via pair interactions in social insects

To understand the evolution of well-organized social behaviour, we must first understand the mechanism by which collective behaviour establishes. In this study, the mechanisms of collective behaviour in a colony of social insects were studied in terms of the transition probability between active and inactive states, which is linked to mutual interactions. The active and inactive states of the social insects were statistically extracted from the velocity profiles. From the duration distributions of the two states, we found that 1) the durations of active and inactive states follow an exponential law, and 2) pair interactions increase the transition probability from inactive to active states. The regulation of the transition probability by paired interactions suggests that such interactions control the populations of active and inactive workers in the colony.

Capturing and sharing our collective expertise on climate data: the CHARMe project

For users of climate services, the ability to quickly determine the datasets that best fit one's needs would be invaluable. The volume, variety and complexity of climate data makes this judgment difficult. The ambition of CHARMe ("Characterization of metadata to enable high-quality climate services") is to give a wider interdisciplinary community access to a range of supporting information, such as journal articles, technical reports or feedback on previous applications of the data. The capture and discovery of this "commentary" information, often created by data users rather than data providers, and currently not linked to the data themselves, has not been significantly addressed previously. CHARMe applies the principles of Linked Data and open web standards to associate, record, search and publish user-derived annotations in a way that can be read both by users and automated systems. Tools have been developed within the CHARMe project that enable annotation capability for data delivery systems already in wide use for discovering climate data. In addition, the project has developed advanced tools for exploring data and commentary in innovative ways, including an interactive data explorer and comparator ("CHARMe Maps") and a tool for correlating climate time series with external "significant events" (e.g. instrument failures or large volcanic eruptions) that affect the data quality. Although the project focuses on climate science, the concepts are general and could be applied to other fields. All CHARMe system software is open-source, released under a liberal licence, permitting future projects to re-use the source code as they wish.

Contribution to collective harms and responsibility

In the present contribution, I discuss the claim, endorsed by a number of authors, that contributing to a collective harm is the ground for special responsibilities to the victims of that harm. Contributors should, between them, cover the costs of the harms they have inflicted, at least if those harms would otherwise be rights-violating. I raise some doubts about the generality of this principle before moving on to sketch a framework for thinking about liability for the costs of harms in general. This framework uses a contractualist framework to build an account of how to think about liability for costs on the basis of the presumably attractive thought that individual agents should have as much control over their liabilities as is compatible with others having like control. I then use that framework to suggest that liability on the basis of contribution should be restricted to cases in which the contributors could have avoided their contribution relatively costlessly, in which meeting the liability is not crippling for them, and in which such a liability would not have chilling effects, either on them or on third parties. This account of the grounds for contributory liability also has the advantage of avoiding a number of awkward questions about what counts as a contribution by shifting the issue away from often unanswerable questions about the precise causal genesis of some harm or other. Instead, control over conduct, which plausibly has some relation to the harm, becomes crucial. On the basis of this account, I then investigate whether a number of uses of the contributory principle are entirely appropriate. I argue that contributory liability is not appropriate for cases of collective harms committed by coordinated groups in the way that, for example, Iris Marion Young and Thomas Pogge have suggested and that further investigation of how members of such groups may be liable will be needed.

Collective financing among Chinese entrepreneurs and department store retailing in China

Chinese entrepreneurship in department store retailing differed from that seen in other emerging economies before 1940. Rather than the leading examples of the format being owned by advanced economy firms, in China a small group of Cantonese entrepreneurs established what became known as the ‘Big Four’ department stores in Shanghai. By 1940 the ‘Big Four’ department stores were among the most famous stores in China, and among the biggest businesses in China. None of these Chinese entrepreneurs had any prior experience in department store retailing. Rather this article explains how their success in department store retailing was dependent on a business model that enabled these Chinese entrepreneurs to act as informal investment bankers (or ‘shadow’ banks) for the thousands of overseas Chinese wanting to invest surplus savings in mainland China, so creating large indigenous business groups.

The kommuna impulse: collective mechanisms and commune-ists in the early Soviet State

This study examines the creation of the urban kommuna (commune) and the ideals that stimulated this social phenomenon – the kommuna impulse of the nascent Soviet state. Collective idealism affected Soviet housing, architecture and even urban planning, but little is known of social experiments in commune‐ism. As a result, these collective cells have been dismissed as utopian anomalies or the product of a housing shortage. Here it is argued that these discursive assessments are unsatisfactory and isolated from the historical narrative. While utopian ideals and domestic necessity were central to the formation of collective living, the kommuna was also involved in an active discourse with collectivism and socialist ideology. The kommuna cell was a dynamic entity that required considerable formative planning. The activists who forged these cells – the self‐identified ‘communards’ – turned their everyday domestic life into a socialist battleground, in which they struggled with the key debates of the early Soviet state. This article examines the communard as a social activist in order to better understand this phenomenon. It clarifies the coexistence of ideological and idealist trends among Soviet youth with practical contingencies for socialism. Furthermore, it reveals the process by which the kommuna impulse and these contingencies developed throughout the 1920s and early 1930s.

Orientalism and intelligence analysis: deconstructing Anglo-American notions of the ‘Arab’

Despite revived notions of a ‘cultural divide’ between East and West, Edward's Said's ‘Orientalism’ has received little attention from scholars of intelligence and diplomacy. This article brings to light for the first time a number of recently declassified documents of a different nature to usual assessments produced by Anglo-American analytic bodies: those focussed primarily on the issue of ‘national character’. Using and critiquing Said's thesis of Western ‘Orientalism’ it reveals some critical and enduring conceptualizations articulated by the diplomatic and intelligence community about Arab culture such as the role of Islam, rhetoric, political motivation and notions of ‘honour’. Such a critical approach demonstrates how diplomatic and intelligence history can also be a history of culture, ideas and institutional mentalité.

Small states, great power? Gaining influence through intrinsic, derivative, and collective power

In recent years, scholars have devoted increased attention to the agency of small states in International Relations. However, the conventional wisdom remains that while not completely powerful, small states are unlikely to achieve much of significance when faced by great power opposition. This argument, however, implicitly rests on resource-based and compulsory understandings of power. This article explores the implicit connections between the concept of "small state" and diverse concepts of power, asking how we should understand these states' attempts to gain influence and achieve their international political objectives. By connecting the study of small states with additional understandings of power, the article elaborates the broader avenues for influence that are open to many states but are particularly relevant for small states. The article argues that small states' power can be best understood as originating in three categories: “derivative,” collective, and particular-intrinsic. Derivative power, coined by Michael Handel, relies upon the relationship with a great power. Collective power involves building coalitions of supportive states, often through institutions. Particular-intrinsic power relies on the assets of the small state trying to do the influencing. Small states specialize in the bases and means of these types of power, which may have unconventional compulsory, institutional, structural, and productive aspects.

In the mood: the dynamics of collective sentiments on Twitter

We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning each other. We use a large dataset of tweets to which we apply three sentiment scoring algorithms, including the open source SentiStrength program. Specifically we make three contributions. Firstly we find that people who have potentially the largest communication reach (according to a dynamic centrality measure) use sentiment differently than the average user: for example they use positive sentiment more often and negative sentiment less often. Secondly we find that when we follow structurally stable Twitter communities over a period of months, their sentiment levels are also stable, and sudden changes in community sentiment from one day to the next can in most cases be traced to external events affecting the community. Thirdly, based on our findings, we create and calibrate a simple agent-based model that is capable of reproducing measures of emotive response comparable to those obtained from our empirical dataset.

Temperature effects on a network of dissipative quantum harmonic oscillators: collective damping and dispersion processes

In this paper we extend the results presented in (de Ponte, Mizrahi and Moussa 2007 Phys. Rev. A 76 032101) to treat quantitatively the effects of reservoirs at finite temperature in a bosonic dissipative network: a chain of coupled harmonic oscillators whatever its topology, i.e., whichever the way the oscillators are coupled together, the strength of their couplings and their natural frequencies. Starting with the case where distinct reservoirs are considered, each one coupled to a corresponding oscillator, we also analyze the case where a common reservoir is assigned to the whole network. Master equations are derived for both situations and both regimes of weak and strong coupling strengths between the network oscillators. Solutions of these master equations are presented through the normal ordered characteristic function. These solutions are shown to be significantly involved when temperature effects are considered, making difficult the analysis of collective decoherence and dispersion in dissipative bosonic networks. To circumvent these difficulties, we turn to the Wigner distribution function which enables us to present a technique to estimate the decoherence time of network states. Our technique proceeds by computing separately the effects of dispersion and the attenuation of the interference terms of the Wigner function. A detailed analysis of the dispersion mechanism is also presented through the evolution of the Wigner function. The interesting collective dispersion effects are discussed and applied to the analysis of decoherence of a class of network states. Finally, the entropy and the entanglement of a pure bipartite system are discussed.

ANALYSIS & STUDY OF AI TECHNIQUES FORAUTOMATIC CONDITION MONITORING OFRAILWAY TRACK INFRASTRUCTURE : Artificial Intelligence Techniques

Since the last decade the problem of surface inspection has been receiving great attention from the scientific community, the quality control and the maintenance of products are key points in several industrial applications.The railway associations spent much money to check the railway infrastructure. The railway infrastructure is a particular field in which the periodical surface inspection can help the operator to prevent critical situations. The maintenance and monitoring of this infrastructure is an important aspect for railway association.That is why the surface inspection of railway also makes importance to the railroad authority to investigate track components, identify problems and finding out the way that how to solve these problems. In railway industry, usually the problems find in railway sleepers, overhead, fastener, rail head, switching and crossing and in ballast section as well. In this thesis work, I have reviewed some research papers based on AI techniques together with NDT techniques which are able to collect data from the test object without making any damage. The research works which I have reviewed and demonstrated that by adopting the AI based system, it is almost possible to solve all the problems and this system is very much reliable and efficient for diagnose problems of this transportation domain. I have reviewed solutions provided by different companies based on AI techniques, their products and reviewed some white papers provided by some of those companies. AI based techniques likemachine vision, stereo vision, laser based techniques and neural network are used in most cases to solve the problems which are performed by the railway engineers.The problems in railway handled by the AI based techniques performed by NDT approach which is a very broad, interdisciplinary field that plays a critical role in assuring that structural components and systems perform their function in a reliable and cost effective fashion. The NDT approach ensures the uniformity, quality and serviceability of materials without causing any damage of that materials is being tested. This testing methods use some way to test product like, Visual and Optical testing, Radiography, Magnetic particle testing, Ultrasonic testing, Penetrate testing, electro mechanic testing and acoustic emission testing etc. The inspection procedure has done periodically because of better maintenance. This inspection procedure done by the railway engineers manually with the aid of AI based techniques.The main idea of thesis work is to demonstrate how the problems can be reduced of thistransportation area based on the works done by different researchers and companies. And I have also provided some ideas and comments according to those works and trying to provide some proposal to use better inspection method where it is needed.The scope of this thesis work is automatic interpretation of data from NDT, with the goal of detecting flaws accurately and efficiently. AI techniques such as neural networks, machine vision, knowledge-based systems and fuzzy logic were applied to a wide spectrum of problems in this area. Another scope is to provide an insight into possible research methods concerning railway sleeper, fastener, ballast and overhead inspection by automatic interpretation of data.In this thesis work, I have discussed about problems which are arise in railway sleepers,fastener, and overhead and ballasted track. For this reason I have reviewed some research papers related with these areas and demonstrated how their systems works and the results of those systems. After all the demonstrations were taking place of the advantages of using AI techniques in contrast with those manual systems exist previously.This work aims to summarize the findings of a large number of research papers deploying artificial intelligence (AI) techniques for the automatic interpretation of data from nondestructive testing (NDT). Problems in rail transport domain are mainly discussed in this work. The overall work of this paper goes to the inspection of railway sleepers, fastener, ballast and overhead.

Equipping Simulation Model (BIOSIM)’s Actors With Multi-agent Intelligence on Cross platforms

Thesis is to Introduce an Intelligent cross platform architecture with Multi-agent system in order to equip the simulation Models with agents, having intelligent behavior, reactive and pro-active nature and rational in decision making.

Self-Service Business Intelligence verktyg – möjligheter ochbegränsningar : En jämförelse av teorier om Self-Service Business Intelligence verktyg och praktiska resultat av verktyget PowerPivot

Inom Business Intelligence har begreppet Self-Service Business Intelligence (Self-Service BI) vuxit fram. Self-Service BI omfattar verktyg vilka möjliggör för slutanvändare att göra analyser och skapa rapporter utan teknisk support. Ett av dessa verktyg är Microsoft PowerPivot.På Transportstyrelsens Järnvägsavdelning finns behov av ett Self-Service BI-verktyg. Vi fick i uppdrag av Sogeti att undersöka om PowerPivot var ett lämpligt verktyg för Transportstyrelsen. Målet med uppsatsen har varit att testa vilka tekniska möjligheter och begränsningar PowerPivot har samt huruvida PowerPivot är användbart för Transportstyrelsen.För att få en djupare förståelse för Self-Service BI har vi kartlagt vilka möjligheter och begränsningar med Self-Service BI-verktyg som finns beskrivna i litteraturen. Vi har sedan jämfört dessa med våra testresultat vilket har varit syftet med uppsatsen.Resultatet av testerna har visat att Transportstyrelsens Järnvägsavdelning initialt behöver teknisk support för att använda PowerPivot. Testerna har även visat att vissa av Transportstyrelsens krav inte kan uppfyllas. Detta minskar användbarheten för Transportstyrelsen.Vidare har vi kommit fram till att Self-Service BI inte alltid är enkelt att använda för slutanvändare utan teknisk support. Resultatet visar även att det krävs en BI-infrastruktur för att enkelt skapa rapporter med god kvalitet och högsta möjliga korrekthet.

Egenskaper att beakta vid val av rapportverktyg inom Business Intelligence : En jämförelse av tre rapportverktyg

Denna rapport behandlar vilka egenskaper som är viktiga att ta hänsyn till vid val av rapportverktyg inom området Business Intelligence. Begreppet BI är relativt omfattande och syftar till färdigheter, teknologier, applikationer och metoder av systematisk och vetenskaplig art som en organisation använder för att bättre förstå sin verksamhet, sin omgivning och omvärld. Rapportverktyg utgör således en mindre del i en större kedja av processer för att stödja beslutstagande.Landstinget Dalarna har anlitat Sogeti, som har varit vår uppdragsgivare för detta examensarbete, för att implementera BI i sin verksamhet och vår studie har sitt ursprung i att Landstinget Dalarna idag har ett stort behov av olika typer av rapporter i många olika delar av organisationen. Rapportbehovet har visat sig vara omfattande och för att lätta på arbetsbördan för de systemutvecklare som skapar rapporter har funderingar framkommit att det skulle kunna vara en bra lösning att låta användarna inom Landstinget Dalarna själva skapa en del av sina egna rapporter. Målet med arbetet är att ge de systemutvecklare som arbetar i projektet riktlinjer kring vilka egenskaper olika rapportverktyg innehar för att de enklare skall kunna avgöra vilket som är lämpligast att använda. De verktyg som i denna studie jämförs med varandra är Report Builder 3.0, PowerPivot samt Dashboard Designer 2010, samtliga från Microsoft.För att göra denna jämförelse mellan olika rapportverktyg krävs bra underlag för att kunna förstå vilka egenskaper som är relevanta att fokusera på samt om några egenskaper väger tyngre än andra.Efter att ha utfört intervjuer med systemutvecklare som arbetar med BI har vi kunnat skapa oss en tydligare bild av detta område. Egenskaperna har sammanställts för att användas i vår jämförelse mellan de olika rapportverktygen. Att dessa egenskaper är av vikt bekräftas till viss del av den teori som finns på området. De egenskaper som främst visar sig vara viktiga i valet är vilken befintlig plattform som används, verktygets möjlighet att skapa interaktiva rapporter samt vilken typ av användare verktyget riktar sig till. Även andra egenskaper visar sig vara viktiga att ta hänsyn till, men då främst beroende på vilka krav som ställs. Resultatet av den praktiska jämförelsen mellan de olika rapportverktygen visar att verktygen till viss del överlappar varandra i funktionalitet samtidigt som de är anpassade för olika typer av användare och plattformar. De utgör allihop delar i Microsofts BI-pussel som på olika sätt skall bidra till att alltid kunna täcka upp de krav som kan finnas beroende på behov och förutsättningar. Samtidigt visar det sig att jämförda rapportverktyg besitter vissa generella egenskaper som gör att verktygen i stora drag klarar, om än på olika sätt, att skapa snarlika rapporter.

Wickedness, Governance and Collective Sanctions: : Can Corruption be Tamed?

Tackling a problem requires mostly, an ability to read it, conceptualize it, represent it, define it, and then applying the necessary mechanisms to solve it. This may sound self-evident except when the problem to be tackled happens to be “complex, “ “ill-structured,” and/or “wicked.” Corruption is one of those kinds of problems. Both in its global and national manifestations it is ill-structured. Where it is structural in nature, endemic and pervasive, it is perhaps even wicked. Qualities of the kind impose modest expectations regarding possibilities of any definitive solution to this insidious phenomenon. If so, it may not suffice to address the problem of corruption using existing categories of law and/or good governance, which overlook the “long-term memory” of the collective and cultural specific dimensions of the subject. Such socio-historical conditions require focusing on the interactive and self-reproducing networks of corruption and attempting to ‘subvert’ that phenomenon’s entire matrix. Concepts such as collective responsibility, collective punishment and sanctions are introduced as relevant categories in the structural, as well as behavioral, subversion of some of the most prevalent aspects of corruption. These concepts may help in the evolving of a new perspective on corruption fighting strategies.