6 research outputs found

    Measuring the Success of the Presidency of the Council of the EU - Austria and Croatia in Comparative Perspective

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    This paper aims to contribute to the ongoing debate on criteria for measuring the performance of the rotating Presidencies of the Council of the EU. The comparison between Austria and Croatia, two countries that concluded the two most recent Council Presidency Trios, can be illustrative in identifying the main factors that can influence the overall performance of rotating Presidencies. Based on the series of quantitative and qualitative indicators, the overall score of both countries’ Presidencies turned to be positive, despite some failures of these Presidencies to demonstrate a firm commitment to fundamental EU values. In view of the lack of evaluations of the Council Presidencies based on verifiable, measurable indicators, this paper seeks to contribute to the development of a more objective methodological framework for the assessment of the future Presidencies of the Council as a still under-researched area within EU studies

    at the 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011)

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    Technical Report TR-2011/1, Department of Languages and Computation. University of Almeria November 2011. JoaquĂ­n Cañadas, Grzegorz J. Nalepa, Joachim Baumeister (Editors)The seventh workshop on Knowledge Engineering and Software Engineering (KESE7) was held at the Conference of the Spanish Association for Artificial Intelligence (CAEPIA-2011) in La Laguna (Tenerife), Spain, and brought together researchers and practitioners from both fields of software engineering and artificial intelligence. The intention was to give ample space for exchanging latest research results as well as knowledge about practical experience.University of AlmerĂ­a, AlmerĂ­a, Spain. AGH University of Science and Technology, KrakĂłw, Poland. University of WĂŒrzburg, WĂŒrzburg, Germany

    Readerly deictic shifting to and through I and you: an updated hypothesis

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    Introduction : This chapter explores the readerly deictic shifting involved in processing the pronouns ‘I’ and ‘you’ in narrative literature. Within literary scholarship both pronouns are often noted to facilitate readerly identification with the textually inscribed position, and to evoke a sense of readerly conceptual immersion in the fictional world of the story. Cognitive poetics and cognitive narratology have employed deictic shift theory (DST), largely based on the work of Duchan, Bruder and Hewitt (1995), to attempt to offer a cognitive account of how these interpretative effects are created (see Stockwell 2002, 2009, McIntyre 2006, and Macrae forthcoming, together with Herman 2002 and Ryan 2001). However, this account remains limited and vague in places. This is partially due to omissions and ambiguities within the original theory. This chapter addresses problems within some recent critical commentaries on the interpretative effects of ‘I’ and ‘you’, and proposes some amendments to and extensions of DST to offer a more comprehensive cognitive poetic account of readerly processing of narratorial uses of these pronouns. This account is then demonstrated through an analysis of a brief extract of literary narrative. The chapter closes by suggesting some future lines of research with a view to further enhancing understanding of deictic shifting

    VODRE: Visualisation of drools rules execution

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    Knowledge-based Systems and Expert Systems, in particular, are expensive to build and difficult to validate and debug because of their complexity and dynamism. Therefore, it is not easy for knowledge engineer and domain expert to identify the gaps and mistakes in knowledge base. Unit testing is unable to cover validation process at all stages, in many cases manual thorough review of decision process is needed. In this paper we spot main approaches to validation and verification issue and describe a component that helps to debug a knowledge base by visualising execution of rules that derive a particular result. This component is developed for Knowledge-based Systems built on Drools Platform1 and we demonstrate application of this component in a knowledge-based engineering system for structural optical design
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