1,002 research outputs found

    The System Paradigm

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    The introduction explains the sense in which the concept of a paradigm, whose originator, T.S. Kuhn, was inspired by the history of the national sciences, is applied to the context of the social sciences. Here the new paradigm does not necessarily replace the old; several paradigms may function effectively side by side. The milestones in the development of the system paradigm have been the works of Marx, Mises, Hayek, Polányi, Schumpeter and Eucken. Although these make a heterogeneous list in terms of their philosophies and political positions, they share a 'system approach'. They deal not just with individual details of the economy but with the system as a whole, and not just with the economy but with the political, ideological and social dimensions, paying special heed to the interactions between each sphere. The great task for the system paradigm is to study the post-socialist transition. For this, it is indispensable; its explanatory power cannot be replaced by any other paradigm. On the other hand, those applying the system paradigm (like the exponents of other paradigms) are often gravely mistaken. The predictive force of the system paradigm is limited, which urges modesty upon those who employ it.http://deepblue.lib.umich.edu/bitstream/2027.42/39662/3/wp278.pd

    Does Meaning Evolove?

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    A common method of improving how well understood a theory is, is by comparing it to another theory which has been better developed. Radical interpretation is a theory which attempts to explain how communication has meaning. Radical interpretation is treated as another time dependent theory and compared to the time dependent theory of biological evolution. Several similarities and differences are uncovered. Biological evolution can be gradual or punctuated. Whether radical interpretation is gradual or punctuated depends on how the question is framed: on the coarse-grained time scale it proceeds gradually, but on the fine-grained time scale it proceeds by punctuated equilibria. Biological evolution proceeds by natural selection, the counterpart to this is the increase in both correspondence and coherence. Exaption, mutations, and spandrels have counterparts metaphor, speech errors, and puns respectively. Homologous and analogs have direct counterparts in specific words. The most important differences originate from the existence of a unit of inheritance (the traditional gene) occurring in biological evolution - there is no such unit in language

    Traceability for Mutation Analysis in Model Transformation

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    International audienceModel transformation can't be directly tested using program techniques. Those have to be adapted to model characteristics. In this paper we focus on one test technique: mutation analysis. This technique aims to qualify a test data set by analyzing the execution results of intentionally faulty program versions. If the degree of qualification is not satisfactory, the test data set has to be improved. In the context of model, this step is currently relatively fastidious and manually performed. We propose an approach based on traceability mechanisms in order to ease the test model set improvement in the mutation analysis process. We illustrate with a benchmark the quick automatic identification of the input model to change. A new model is then created in order to raise the quality of the test data set

    Does Meaning Evolve?

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    A common method of making a theory more understandable, is by comparing it to another theory which has been better developed. Radical interpretation is a theory which attempts to explain how communication has meaning. Radical interpretation is treated as another time-dependent theory and compared to the time dependent theory of biological evolution. The main reason for doing this is to find the nature of the time dependence; producing analogs between the two theories is a necessary prerequisite to this and brings up many problems. Once the nature of the time dependence is better known it might allow the underlying mechanism to be uncovered. Several similarities and differences are uncovered, there appear to be more differences than similarities.Comment: title changed, completely rewritten, new version 37 pages previous version 28 pages, to appear in Behaviour and Philosoph

    The System Paradigm

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    The introduction explains the sense in which the concept of a paradigm, whose originator, T.S. Kuhn, was inspired by the history of the national sciences, is applied to the context of the social sciences. Here the new paradigm does not necessarily replace the old; several paradigms may function effectively side by side. The milestones in the development of the system paradigm have been the works of Marx, Mises, Hayek, Polányi, Schumpeter and Eucken. Although these make a heterogeneous list in terms of their philosophies and political positions, they share a 'system approach'. They deal not just with individual details of the economy but with the system as a whole, and not just with the economy but with the political, ideological and social dimensions, paying special heed to the interactions between each sphere. The great task for the system paradigm is to study the post-socialist transition. For this, it is indispensable; its explanatory power cannot be replaced by any other paradigm. On the other hand, those applying the system paradigm (like the exponents of other paradigms) are often gravely mistaken. The predictive force of the system paradigm is limited, which urges modesty upon those who employ it.socialist system, capitalist system, systemic change, comparative economics

    PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data

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    <p>Abstract</p> <p>Background</p> <p>OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth conditions such as different metabolites and antibiotics over a time course of hours to days. In order to manage the large amount of data produced from the OmniLog™ instrument, PheMaDB (Phenotype Microarray DataBase), a web-based relational database, was designed. PheMaDB enables efficient storage, retrieval and rapid analysis of the OmniLog™ PM data.</p> <p>Description</p> <p>PheMaDB allows the user to quickly identify records of interest for data analysis by filtering with a hierarchical ordering of Project, Strain, Phenotype, Replicate, and Temperature. PheMaDB then provides various statistical analysis options to identify specific growth pattern characteristics of the experimental strains, such as: outlier analysis, negative controls analysis (signal/background calibration), bar plots, pearson's correlation matrix, growth curve profile search, <it>k</it>-means clustering, and a heat map plot. This web-based database management system allows for both easy data sharing among multiple users and robust tools to phenotype organisms of interest.</p> <p>Conclusions</p> <p>PheMaDB is an open source system standardized for OmniLog™ PM data. PheMaDB could facilitate the banking and sharing of phenotype data. The source code is available for download at <url>http://phemadb.sourceforge.net</url>.</p

    Spectrum-Based Fault Localization in Model Transformations

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    Model transformations play a cornerstone role in Model-Driven Engineering (MDE), as they provide the essential mechanisms for manipulating and transforming models. The correctness of software built using MDE techniques greatly relies on the correctness of model transformations. However, it is challenging and error prone to debug them, and the situation gets more critical as the size and complexity of model transformations grow, where manual debugging is no longer possible. Spectrum-Based Fault Localization (SBFL) uses the results of test cases and their corresponding code coverage information to estimate the likelihood of each program component (e.g., statements) of being faulty. In this article we present an approach to apply SBFL for locating the faulty rules in model transformations. We evaluate the feasibility and accuracy of the approach by comparing the effectiveness of 18 different stateof- the-art SBFL techniques at locating faults in model transformations. Evaluation results revealed that the best techniques, namely Kulcynski2, Mountford, Ochiai, and Zoltar, lead the debugger to inspect a maximum of three rules to locate the bug in around 74% of the cases. Furthermore, we compare our approach with a static approach for fault localization in model transformations, observing a clear superiority of the proposed SBFL-based method.Comisión Interministerial de Ciencia y Tecnología TIN2015-70560-RJunta de Andalucía P12-TIC-186

    Production of Reliable Flight Crucial Software: Validation Methods Research for Fault Tolerant Avionics and Control Systems Sub-Working Group Meeting

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    The state of the art in the production of crucial software for flight control applications was addressed. The association between reliability metrics and software is considered. Thirteen software development projects are discussed. A short term need for research in the areas of tool development and software fault tolerance was indicated. For the long term, research in format verification or proof methods was recommended. Formal specification and software reliability modeling, were recommended as topics for both short and long term research

    \u3cem\u3eEverything Flows\u3c/em\u3e : The Poetics of Transformation

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    Plato famously dismissed art as thrice removed from reality, holding that mimesis is a copy of a copy, a distraction from the more serious affairs of truth. Two millennia have done little to remove this stigma of dissembling deceit leveled at art. Metamorphosis provides an alternative view of reality, and of the access of art to that reality, that I will consider in the remarks that follow. On the opposite view of things from Plato, Heralclitus, addressing the question of reality — of what and how things are — declared “IIαvτα Pηεl ”, Everything Flows: the idea that reality is flow not form. On this view of elemental being, there are no discrete things, only a continuous process of transformations: the natural life of things is metamorphosis. Quite apart from philosophical conjectures, experience of flow is perceptual/literal — rivers flow, lava flows — and conceptual/figurative — time flows, ideas flow. Experience occurs at different theoretical and metaphorical levels: electrons flow, crowds flow. The idiom of everyday reality is that of discrete objects and forms, in which discourse about the world is measured in units of utility, the placement and use of objects as resources for the exercise of human interests. Artistic intuition and philosophical interest look through the convenience of the ordinary and equipmental, to the question of reality as such, to the world as it is, to things in themselves. Although science refines the process of function in terms of theoretical explanation, the language of mathematics and physics is divided in its view of the language of the universe. The standard view since Newton is that of the calculus, that regards motion as elemental — that between every motion is another motion. But there is a more recent and powerful view of science and mathematics, familiar in computers, photoelectric cells, as well as quantum theory — committed at a fundamental level to iteration — to a digital reality. In any event, the issue of reality seems an undecidable issue within science; moreover science itself is more under an agenda of empowerment than truth. The world of art, however, has no limitation to the instrumental utility of its images and discourse and is free to pursue perspectives on the truth of reality however it manifests itself in creative expression. Perspectives about the ultimate nature of reality are not the siguature domain of the arts, but there is merit to the idea that the fundamental metaphor of the arts is that of metamorphosis, that transformation is at the heart both of what art strives to express, and the process and discourse of that expression

    Adaptive dynamics

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    Adaptive dynamics (AD) is a mathematical framework for dealing with eco-evolutionary problems, primarily based on the following simplifying assumptions: clonal reproduction, rare mutations, small mutational effects, smoothness of the demographic parameters in the traits, and well-behaved community attractors. However, often the results from AD models turn out to apply also under far less restrictive conditions. The main AD tools are its so-called canonical equation (CE) that captures how the trait value(s) currently present in the population should develop over evolutionary time, and graphical techniques for analyzing evolutionary progress for one-dimensional trait spaces like .pairwise invasibility plots. (PIPs) and .trait evolution plots. (TEPs). The equilibria of the CE, customarily referred to as evolutionarily singular strategies, or ess-es, comprise in addition to the evolutionary equilibria, or ESSes, also points in trait space where the population comes under a selective pressure to diversify. Such points mathematically capture the ecological conditions conducive to adaptive (Darwinian) speciation
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