nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2010‒03‒06
three papers chosen by
Walter Frisch
University Vienna

  1. Prognosen aus dem Internet: Weitere Erholung am Arbeitsmarkt erwartet By Askitas, Nikos; Zimmermann, Klaus F.
  2. The Semantic Web Paradigm for a Real-Time Agent Control (Part I) By Mazilescu, Vasile
  3. The Semantic Web Paradigm for a Real-Time Agent Control (Part II) By Mazilescu, Vasile

  1. By: Askitas, Nikos (IZA); Zimmermann, Klaus F. (IZA, DIW Berlin and Bonn University)
    Abstract: Nach einem neuen methodischen Prognosekonzept, das arbeitsmarktbezogene Internetdaten nutzt, entspannt sich zum Frühjahr 2009 die Arbeitsmarktlage. Das Papier erläutert die Technik der Prognose der Arbeitslosigkeit unter Nutzung der Messung der Google-Suchaktivität und illustriert die Leistungsfähigkeit der Methode in der gegenwärtigen komplexen Anwendungssituation.
    Keywords: Google, Internet, Suchmaschinen, Schlüsselworte, Arbeitslosigkeit, Prognosen, Evaluation
    JEL: C22 C82 E17 E24 E37
    Date: 2009–06
  2. By: Mazilescu, Vasile
    Abstract: For the Semantic Web point of view, computers must have access to structured collections of information and sets of inference rules that they can use to conduct automated reasoning. Adding logic to the Web, the means to use rules to make inferences, choose courses of action and answer questions, is the actual task for the distributed IT community. The real power of Intelligent Web will be realized when people create many programs that collect Web content from diverse sources, process the information and exchange the results with other programs. The first part of this paper is an introductory of Semantic Web properties, and summarises agent characteristics and their actual importance in digital economy. The second part presents the predictability of a multiagent system used in a learning process for a control problem.
    Keywords: Semantic Web; agents; fuzzy knowledge; evolutionary computing
    JEL: C63 C88
    Date: 2010–02–17
  3. By: Mazilescu, Vasile
    Abstract: This paper is the second part of The Semantic Web Paradigm for a Real-time Agent Control, and the goal is to present the predictability of a multiagent system used in a learning process for a control problem (MASLCP).
    Keywords: learning process; fuzzy control; agent predictability
    JEL: C63 C88
    Date: 2010–02–17

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