1,720,971 research outputs found

    社会的知能発生学における構成論的シミュレーションの役割とSIGVerseの開発

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    社会的生物であるヒトが持つ社会的知能とはどのようなものか,それはいかにしてできたかという問いは,人間や生命の謎に挑む新しい総合科学である「ロボティック・サイエンス」の中でも最重要な問いの一つである.すでに,この問いを追求する科学として社会的知能発生学(sociointelligenesis)の研究が進められている.社会的知能発生学の目標は,社会的知能を理解したい,社会的知能をそれ自体だけではなくその発生から理解し,究極的には社会的知能発生学の理論を作るということである.また,社会的知能を持った人工物のデザインと実装は,目標の一つでもあり,理解へ至る手段としても用いられる.すなわち,社会的知能発生学では,構成を通した理解である構成論的アプローチが重要な位置を占める.この構成論的な社会的知能理解を推し進めるため,近年,SIGVerseという新たなシミュレーション・プラットフォームを開発する動きがある.本稿では,このSIGVerse を科学の方法に位置づけるための議論を行う.以下では,社会的知能発生学を,ひいては,ロボティック・サイエンスを「科学」として確立するため,科学の考え方について知識進化プロセスの視点からまとめる.その上で,リアリスティック・シミュレーションと構成論的シミュレーションという2 タイプのシミュレーションを対比させることを通して,構成論的アプローチを科学的知識進化の中に位置づける.続いて,社会的知能発生シミュレータSIGVerse を紹介し,SIGVerse が社会的知能発生学という「科学」の進展にどのような役割を担うのかを論ずる

    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

    Estimation of Suitable Action to Realize Given Novel Effect with Given Tool Using Bayesian Tool Affordances

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    We present the concept of Bayesian Tool Affordances as a solution to estimate the suitable action for the given tool to realize the given novel effects to the robot. We define Tool affordances as the “awareness within robot about the different kind of effects it can create in the environment using a tool”. It incorporates understanding the bi-directional association of executed Action, functionally relevant features of the Tool and the resulting effects. We propose Bayesian leaning of Tool Affordances for prediction, inference and planning capabilities while dealing with uncertainty, redundancy and irrelevant information using limited learning samples. The estimation results are presented in this paper to validate the proposed concept of Bayesian Tool Affordances

    Exploring the Relationship between Personality and Difficulty Adaptation to Enhance Enjoyment and Self-Efficacy in a VR Game

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    It is known that a user's personality influences the genres of games they prefer, but the relationship between personality and game mechanics has been less investigated. However, discovering such relationships is important for understanding how adjusting game difficulty based on users' personalities can enhance their intrinsic motivation. This paper investigates the relationship between Big Five personality traits and difficulty adaptation methods constructed using static difficulty curves in a VR Kendama game. The results revealed statistically correlation trends between specific personality traits within the Big Five factors and indicators of intrinsic motivation-namely, enjoyment and self-efficacy-across three different difficulty adaptation methods. This suggests that by utilizing the derived correlations, appropriately selecting difficulty adaptation methods when users with specific personality traits play the game could simultaneously enhance their enjoyment and self-efficacy.ICAT-EGVE 2025 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and DemosPosters and Demo

    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

    Erfassung und Repräsentation menschlicher Aktivitäten aus Beobachtungen durch semantisches Schlussfolgern

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    This thesis presents a framework that includes a new learning technique based on semantic representations that considers the re-usability and the inclusion of new skills in a robust manner. The obtained semantics extracts the essence of the observed activities in terms of human motions and object properties. The introduced framework has been assessed on a humanoid robot using different perceptual modalities, under different constraints and in several scenarios, demonstrating that our framework does not depend on the analyzed task.Diese Promotionsarbeit stellt eine Architektur vor, die es ermöglicht anhand von semantischen Beschreibungen neue Fähigkeiten zu lernen und bereits bekannte Fähigkeiten wieder zu verwenden. Anhand der semantischen Beschreibung werden wesentliche Eigenschaften der observierten Tätigkeit erfasst, so z.B. menschliche Bewegungen und Eigenschaften von Objekten. Die vorgestellte Architektur wurde mit Hilfe eines humanoiden Roboters anhand unterschiedlicher Szenarien und für unterschiedliche Wahrnehmungsmodalitäten evaluiert

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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