1,721,077 research outputs found

    A Soft Computing Framework for Adaptive Agents

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    We extend the actor-based model of concurrent and distributed programming toward a framework in which the agents can learn emerging behaviours through a fuzzy evolutionary structure. The framework is based on the notion of FuzzyEvoAgent, i.e. an entity that exploiting the basic issues of actors (asynchronous message passing, concurrent computation) is submitted to evolutionary laws that reinforce the most suitable behaviors respecting the environment. The behavior evolution is accomplished without the intervent of external stimulus, so that the actor (an entity that reacts only if it receives a command) may be considered as an adaptive agent. We propose a formal definition as well as an implementation model of FuzzyEvoAgents that has been verified via a simple simulation of Artificial Life

    Compression and decompression of fuzzy relations in the basic logic over [0,1]

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    We improve the mathematical contents of two previous papers using the axioms of the basic logic over [0,1] due to Hajek (1998). We make use of the theory of fuzzy relation equations for getting lossy compression and decompression of images. These are understood as two-argument fuzzy matrices of sizes m×n, compressed to two argument fuzzy matrices of sizes h × k, h ⩽ m and k ⩽ n. We are widely inspired from two papers of Nobuhara et al. (2000), but we propose several slight modifications illustrating an algorithm implemented in Jav

    A Soft Computing Framework for Adaptive Agents

    No full text
    We extend the actor-based model of concurrent and distributed programming toward a framework in which the agents can learn emerging behaviours through a fuzzy evolutionary structure. The framework is based on the notion of FuzzyEvoAgent, i.e. an entity that exploiting the basic issues of actors (asynchronous message passing, concurrent computation) is submitted to evolutionary laws that reinforce the most suitable behaviors respecting the environment. The behavior evolution is accomplished without the intervent of external stimulus, so that the actor (an entity that reacts only if it receives a command) may be considered as an adaptive agent. We propose a formal definition as well as an implementation model of FuzzyEvoAgents that has been verified via a simple simulation of Artificial Life

    Fuzzy Relation Calculus in the Compression and Decompression of Fuzzy Relations

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    We firstly review some fundamentals of fuzzy relation calculus and, by recalling some known results, we improve the mathematical contents of our previous papers by using the properties of a triangular norm over [0,1]. We make wide use of the theory of fuzzy relation equations for getting lossy compression and decompression of images interpreted as two-argument fuzzy matrices.The same scope is achieved by decomposing a fuzzy matrix using the concept of Schein rank. We illustrate two algorithms with a few examples

    The Schein rank concept for coding and decoding fuzzy relations

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    Our aim in this short note is to underline how the concept of Schein rank of a fuzzy relation can be useful for acting lossy compression and decompression of images, here interpreted as two-arguments fuzzy matrices. We illustrate an algorithm based on the classical gradient method, which is implemented in JAVA, with a suitable example borrowed by our previous papers

    Fuzzy relation equations for coding/decoding processes of images and videos

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    We adopt fuzzy relation equations with continuous triangular norms for compression/ decompression processes of grey images, colour images in the RGB space and frames of videos, by comparing the results of the reconstructed images with standard methods like JPEG and MPEG-4. Any image is subdivided in blocks and each block is coded/decoded using arbitrary fuzzy sets as coders in the fuzzy equations. We evaluate the peak signal to noise ratio (PSNR) on the decompressed images for several values of the compression rates as measure of the quality of images and frames reconstructed. The original frames of a video are classified in Intra-frames and Predictive frames by using a similarity measure based on the well known Lukasiewicz t-norm

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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