1,720,979 research outputs found
Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Are machines smarter than humans? What will happen of our
species if artificial intelligence (AI) becomes so advanced that it
can no longer be controlled? Is the uniqueness of human beings
at risk? These are just some of the questions that grip computer
science experts as much as ordinary people who experience
technological development day in and day out. In our paper, the
current scenario will be analysed, from the search for a definition
of human intelligence to the historical stages marking the birth
and development of technologies capable of emulating many of
its facets. The discussion will focus on the main differences
between man and machine in the interpretation and replication of
the concept of intelligence, highlighting the diversity of approach
between an inherently complex entity (man) and a linearly
functioning system (machine). The purpose will be trying to
provide insights to answer the initial questions, by analysing
possibilities and limitations of the main AI emulation techniques.
The optimistic view offered by our work suggests that the
machine's highest aspiration can only come down to the sheer
emulation of our behaviours: machines’ linearity will always
remain in the service of human complexity, never vice versa
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Artt. 78, 79, 80
Il contributo costituisce un primo commento, chiaro e conciso, agli articoli della Costituzione italiana relativi alla deliberazione dello stato di guerra da parte del Parlamento e del conferimento al Governo dei poteri necessari, della legge di concessione dell'amnistia e dell'indulto, delle leggi di autorizzazione alla ratifica dei trattati internazional
Effect of sex and seasonal variation on amino acid composition on the fillet of Engraulis encrasicholus (Linnaeus, 1758): preliminary evaluation
Dispelling the Myths Behind First-author Citation Counts
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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