1,721,021 research outputs found
Markov Blankets for Sustainability
This paper’s aim is twofold: on the one hand, to provide an overview of the state of the art of some kind of Bayesian networks, i.e. Markov blankets (MB), focusing on their relationship with the cognitive theories of the free energy principle (FEP) and active inference. On the other hand, to sketch how these concepts can be practically applied to artificial intelligence (AI), with special regard to their use in the field of sustainable development. The proposal of this work, indeed, is that understanding exactly to what extent MBs may be framed in the context of FEP and active inference, could be useful to implement tools to support decision-making processes for addressing sustainability. Conversely, looking at these tools considering how they could be related to those theoretical frameworks, may help to shed some light on the debate about FEP, active inference and its linkages with MBs, which still seems to be clarified. For the above purposes, the paper is organized as follows: after a general introduction, Sect. 2 explains what a MB is, and how it is related to the concepts of FEP and active inference. Thus, Sect. 3 focuses on how MBs, joint with FEP and active inference, are employed in the field of AI. On these grounds, Sect. 4 explores whether MBs, FEP, and active inference can be useful to face the issues related to sustainability
Active Inference for AI
The aim of this short paper is to present the connection between the cognitive framework of predictive processing and active inference and existing implementation in AI tools, in order to investigate whether these models of cognition can be used to design explainable and sustainable AI architectures
Gender Discrimination In Italian Academia within Logic and Philosophy of Science
This feature reports on the output of the World Café table on Gender Discrimination in Italian Academia which took place at first meeting of the Milano Logic and Philosophy of Science Network (12 March 2025).
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
A nonlinear interface model applied to masonry structures
In this paper, a new imperfect interface model is presented. The model includes finite strains, micro-cracks and smooth roughness. The model is consistently derived by coupling a homogenization approach for micro-cracked media and arguments of asymptotic analysis. The model is applied to brick/mortar interfaces. Numerical results are presented
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