40,447 research outputs found

    On Using Blockchains for Safety-Critical Systems

    Full text link
    Innovation in the world of today is mainly driven by software. Companies need to continuously rejuvenate their product portfolios with new features to stay ahead of their competitors. For example, recent trends explore the application of blockchains to domains other than finance. This paper analyzes the state-of-the-art for safety-critical systems as found in modern vehicles like self-driving cars, smart energy systems, and home automation focusing on specific challenges where key ideas behind blockchains might be applicable. Next, potential benefits unlocked by applying such ideas are presented and discussed for the respective usage scenario. Finally, a research agenda is outlined to summarize remaining challenges for successfully applying blockchains to safety-critical cyber-physical systems

    Pollution Abatement in the Netherlands: A Dynamic Applied General Equilibrium Assessment

    Get PDF
    This paper deals with an assessment of the economic costs of environmental policies in the Netherlands, using a dynamic Applied General Equilibrium model with bottom-up information on abatement techniques. Empirical abatement cost curves are used to determine substitution possibilities between pollution and abatement and the characteristics of abatement goods. The results show that an absolute decoupling of economy and environment is possible. Smog formation is the most costly environmental theme, due to the absence of technical abatement options. For all environmental themes, the least-cost way to reduce emissions is via a combination of technical abatement measures and substantial economic restructuring.Applied general equilibrium, Pollution abatement, Dynamics, Environmental policy, Netherlands

    From supply chains to demand networks. Agents in retailing: the electrical bazaar

    Get PDF
    A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

    Circular business strategies and supply chain finance in the Aruba waste sector : a case study of a small island jurisdiction

    Get PDF
    This paper focuses on possibilities and obstacles for a circular economy in the waste management sector in Aruba. The authors describe the Aruban economy and the consequences of its SIDS characteristics. The article defines concepts in the field of circular economy and presents a conceptual model for research in this area. Based on multimethod research, the paper argues that small and medium-sized firms (SMEs) in the waste sector in Aruba determine their financial needs partly on the opportunities offered by the international market and price developments. Financing often takes place from own resources or via a local bank. No examples of circular chain financing were identified. Chain cooperation takes place with partners within the existing holding or with international partners, whereby performance and hedging contracts are concluded to guarantee quality and delivery and to mitigate business risks such as price fluctuations on the world market. During the research, it became obvious that limitations resulting from Aruba’s small scale and ‘islandness’ – such as the limited goods flow, limited quantities of feed waste materials and financing facilities offered by the local banking sector, as well as insufficiently stimulating legislation and regulations, coupled with faltering knowledge circulation and social awareness – seriously hamper the development of circular entrepreneurism in Aruba. The article offers policy recommendations to mitigate the bottlenecks for sustainable development in Aruba.peer-reviewe

    Estimating the Value of Oil Capital in a Small Open Economy: the Venezuela’s Example

    Get PDF
    The paper focuses in the calculation of the oil capital value in a small open economy depending on oil rents. The Venezuelan case is used as an example. In valuing the oil capital, two issues are recalled and discussed: how should the exploration costs and the capital gains be treated? It is shown that the estimations vary significantly depending on which set of assumptions are made about the way to account for them and the assumptions made about how the economy functions. It is argued that during the studied period the value of the Venezuelan stock of oil capital has increased, and it has done so faster than the population.Venezuela, Oil Capital, Capital Gains, Exploration Costs, Property Rights

    Trade, transition paths, and sustainable economies

    Get PDF
    The main criticisms of trade from a sustainability viewpoint are that it accelerates resource depletion and pollution, harms income distribution both locally and internationally, and undermines democratic institutions. After considering the relationship between trade and "sustainability," this paper discusses a number of feedback mechanisms which promote the kind of trade that is more sustainable - for the South as well as the North. The role of technological change, a model of the relationship between production and "sustaining services," data needs and research priorities are also discussed

    The agricultural policy simulator (AgriPoliS): an agent-based model to study structural change in agriculture (Version 1.0)

    Get PDF
    A central criticism common to agricultural economic modelling approaches for policy analysis is that they do not adequately take account of a number of characteristic factors of the agricultural sector. This concerns aspects like the immobility of land, heterogeneity of farms, interactions between farms, space, dynamic adjustment processes as well as dynamics of structural change. In brief, modelling the complexity of the system has not been at the centre of interest. In terms of modelling complex economic systems, an agent-based modelling approach is a suitable approach to quantitatively model and understand such systems in a more natural way. In the same way, this applies to the modelling of agricultural structures. In particular, agent-based models of agricultural structures allow for carrying out computer experiments to support a better understanding of the complexity of agricultural systems, structural change, and endogenous adjustment reactions in response to a policy change. This paper presents the agent-based model AgriPoliS (Agricultural Policy Simulator) which simultaneously considers a large number of individually acting farms, product markets, investment activity, as well as the land market, and a simple spatial representation. The ultimate objective of AgriPoliS is to study the interrelationship of rents, technical change, product prices, investments, production and policies, structural effects resulting from these, the analysis of the winners and losers of agricultural policy as well as the costs and efficiency of various policy measures. -- G E R M A N V E R S I O N: Ein oft genannter Kritikpunkt an vielen agrarökonomischen Politikanalysemodellen ist, dass diese nur ungenĂŒgend Bezug nehmen auf Aspekte wie die ImmobilitĂ€t von Boden, HeterogenitĂ€t der Akteure, Interaktionen zwischen Betrieben, rĂ€umliche BezĂŒge, dynamische Anpassungsprozesse und Strukturwandel. Kurz, die Modellierung komplexer WirkungszusammenhĂ€nge steht weniger oder nicht im Zentrum des Interesses. Agentenbasierte Modelle stellen einen Weg dar, das VerstĂ€ndnis komplexer ökonomischer ZusammenhĂ€nge zu verbessern bzw. zu quantifizieren. Insbesondere erlauben sie die DurchfĂŒhrung von einer Vielzahl von Computerexperimenten, mit denen Fragestellungen wie der Zusammenhang zwischen Politikmaßnahmen und Strukturwandel untersucht werden können. Basierend darauf, stellt dieser Beitrag das agentenbasierte Modell AgriPoliS (Agricultural Policy Simulator) vor. AgriPoliS ist ein rĂ€umlich-dynamisches Modell einer Agrarstruktur, in dem eine Vielzahl individuell abgebildeter landwirtschaftlicher Unternehmen in einer vereinfacht dargestellten Agrarregion agiert und beispielsweise um begrenzt verfĂŒgbare landwirtschaftliche FlĂ€chen konkurriert.Agent-based systems,Multi-agent systems,Policy analysis,Structural change,Simulation,Agentenbasierte Systeme,Politikanalyse,Multi-Agentensysteme,Strukturwandel,Simulation
    • 

    corecore